CN117241298A - Application system based on network excellent wireless performance analysis - Google Patents
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Abstract
The invention relates to the technical field of network optimization wireless performance, in particular to an application system based on network optimization wireless performance analysis, which improves network performance and stability through an automatic process. Specifically, the development parameter checking module automatically imports and checks site parameters, reduces human errors, and automatically updates network data. The performance analysis module is combined with site geographic information to generate a performance hot point diagram, and the 5G intelligent start-up module automatically generates start-up scripts according to the diagram. This not only reduces the workload, but also avoids human error. The resource synergy module further optimizes the user connection number and performance matching. In the whole, the system realizes the real-time and accurate management and optimization of the wireless network performance in a large-scale network environment through an automatic and intelligent means, and greatly improves the network reliability and user experience.
Description
Technical Field
The invention relates to the technical field of network optimization wireless performance, in particular to an application system based on network optimization wireless performance analysis.
Background
Optimization and management of wireless network performance has become a very challenging task. In increasingly complex network environments, the number and complexity of network parameters are rapidly increasing, making it difficult for conventional manual network optimization methods to accommodate the requirements of modern network management. The traditional method relies on network engineers to manually collect site parameters, manually clean and make optimization decisions and start-up strategies, which not only is labor intensive, but also is prone to parameter errors or human error resulting in the generation of erroneous or inefficient solutions. Meanwhile, with the continuous increase of the number of network users and service load, the stability of network performance is determined by timely distribution of network performance, and the manual management is difficult to accurately and efficiently optimize a large-scale network environment in a short time.
Disclosure of Invention
In order to solve the problems, the invention provides an application system based on network excellent wireless performance analysis.
In order to achieve the above purpose, the invention adopts the following technical scheme:
an application system based on network optimization wireless performance analysis, comprising: a basic data unit and an intelligent optimization unit;
the basic data unit is used for digitally storing site parameters, test data and complaint information;
the intelligent optimization unit comprises a development parameter checking module, a 5G intelligent start-up module, a development performance analysis module, a resource synergy module and a development reinsurance support module;
the development parameter checking module is used for preprocessing the site parameters which are manually or automatically imported, checking and checking the parameters and updating network parameter data;
the development performance analysis module is used for carrying out geographic analysis on the 4G site and the 5G site of each cell by combining the network parameter data to obtain a performance heat point diagram;
the 5G intelligent start-up module is used for automatically generating a start-up script by using the performance hot spot diagram, extracting new station parameters from the start-up script and sending the new station parameters to the development parameter checking module;
the resource synergy module is used for carrying out connection allocation by combining the performance hot spot diagram and the real-time user connection number;
the development and reinsurance support module is used for monitoring and reporting network conditions of a preset key guarantee area in real time.
Further, the development parameter checking module includes:
the rule configuration module is used for providing a visual operation interface, allowing engineers or administrators to preset and modify the checking rules, and updating and storing the checking rules for other modules to call;
the data importing module is used for receiving manually imported or automatically imported parameters and preprocessing, and the preprocessing process comprises format conversion and missing value processing;
the parameter comparison module is used for acquiring the checking rule from the rule configuration module, acquiring the preprocessed parameter from the data importing module, and comparing and checking the preprocessed parameter by using the checking rule;
and the cell identification and statistics module is used for identifying cells with inconsistent appearance parameters and counting the number of the cells.
Further, the alignment check includes:
checking for interoperability between different vendors or devices;
according to the deployment mode of the 5G network, checking independent networking or non-independent networking;
checking the QCI set value;
distinguishing a time division duplex mode from a frequency division duplex mode for checking;
checking according to the antenna configuration;
checking the distinguished macro station and the indoor station;
and respectively checking the throughput ratio T ', the access success rate A ' and the switching success rate S '.
Further, the development parameter checking module further comprises a parameter checking module, and when the comparison check finds that the parameters are inconsistent, the parameter checking module performs parameter adjustment, and updates network parameter data after the adjustment.
Further, the development performance analysis module calculates a comprehensive performance index C of each geographical area through network parameter data and geographical information of the cell, and the formula of the comprehensive performance index C is as follows:
C＝w 1 T′++W 2 A′+w 3 S′，
wherein T ' is throughput ratio, A ' is access success rate, S ' is handover success rate, w 1 Is the throughput weight, w 2 Is the weight of success rate of access, w 3 Is the weight of the success rate of the switching, and the sum of the weights is 1, namely
w 1 +w 2 +w 3 ＝1。
Further, the development performance analysis module maps the comprehensive performance index C to a specific geographic position by utilizing a Geographic Information System (GIS) technology to generate a performance heat point diagram.
Further, the resource synergy module extracts the user connection number of the site, evaluates the site with insufficient user connection number based on a preset alarm rule and calculates the number to be supplemented, evaluates the site with redundant user connection number according to the 7-day average value of site connection and calculates the number to be stolen, and finally adjusts and distributes the user connection number according to the evaluation result and synchronously sends data to the development parameter checking module.
Further, the 5G intelligent start-up module judges the network performance strength through pixel color depth by using an image analysis algorithm, determines the boundary of a low-performance area and generates a start-up script.
Further, the development and reinsurance support module includes:
the data screening module is used for reading the network data of the 5G network cell, screening a blacklist cell according to the network data, and comprising a zero-flow cell, a high-load cell and a high-interference cell;
and the monitoring module is used for monitoring the overall KPI, faults and interference of the key scene according to the real-time data and preset conditions and carrying out quick positioning and emergency treatment on the found problem cell.
Further, the development and reinsurance support module further comprises a reporting module for generating a global hour level KPI notification and a problem cell notification for the secured area.
The invention has the beneficial effects that: according to the invention, the station parameters are automatically or manually imported by the development parameter checking module, preprocessing and checking are carried out, so that manual errors and workload are greatly reduced, network parameter data are automatically updated, then the development performance analysis module generates a performance heat point diagram through the combination of the network parameter data and site geographic information, the 5G intelligent station opening module automatically generates a station opening script through analyzing the performance heat point diagram, the manual workload is reduced, an error scheme caused by the manual errors is avoided, and the resource synergy module is optimally connected and matched with the user connection number through the performance heat point diagram, so that the network performance is timely distributed, and the stability of the network performance is ensured. The scheme integrally realizes the efficient and accurate management and optimization of the wireless network performance in a large-scale network environment through automation.
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FIG. 1 is a diagram of an intelligent optimization unit of an application system based on network optimization wireless performance analysis in the present invention.
Fig. 2 is a schematic diagram of a development parameter checking module.
Fig. 3 is a schematic diagram of the system structure of the present invention.
Detailed Description
Referring to fig. 1-3, the present invention relates to an application system based on network optimization wireless performance analysis.
Example 1
An application system based on network optimization wireless performance analysis, comprising: a basic data unit and an intelligent optimization unit;
the basic data unit is used for digitally storing site parameters, test data and complaint information;
the intelligent optimization unit comprises a development parameter checking module, a 5G intelligent start-up module, a development performance analysis module, a resource synergy module and a development reinsurance support module;
the development parameter checking module is used for preprocessing the site parameters which are manually or automatically imported, checking and checking the parameters and updating network parameter data;
the development performance analysis module is used for carrying out geographic analysis on the 4G site and the 5G site of each cell by combining the network parameter data to obtain a performance heat point diagram;
the 5G intelligent start-up module is used for automatically generating a start-up script by using the performance hot spot diagram, extracting new station parameters from the start-up script and sending the new station parameters to the development parameter checking module;
the resource synergy module is used for carrying out connection allocation by combining the performance hot spot diagram and the real-time user connection number;
the development and reinsurance support module is used for monitoring and reporting network conditions of a preset key guarantee area in real time.
In this embodiment, a piece of site parameter data is first imported into the underlying data unit for digital storage. The data are then sent to a development parameter verification module, wherein the parameter comparison module cooperates with the rule configuration module to verify and verify the preset rules. Once the data is verified, it is updated into the network parameters database. These verified data are used as inputs to develop a performance analysis module that generates a performance heatmap through Geographic Information System (GIS) technology and network performance metrics. This performance hot-spot diagram is then passed to a 5G intelligent start-up module which identifies low performance areas by image analysis algorithms and automatically generates start-up scripts therefrom. The generated open site script contains all necessary parameters for the new site, which are then sent back to the development parameter verification module for further verification and verification. Meanwhile, the resource synergy module also utilizes the performance hot spot diagram and the real-time user connection number data to carry out intelligent connection allocation. A fully automated process is realized from importing, checking of data, performance analysis, start-up policy generation and resource allocation. This not only improves the accuracy and efficiency of network optimization and management, but also reduces human error and operating costs through automation.
Example 2
The application system based on network optimization wireless performance analysis according to embodiment 1, wherein the development parameter checking module includes:
the rule configuration module is used for providing a visual operation interface, allowing engineers or administrators to preset and modify the checking rules, and updating and storing the checking rules for other modules to call;
the data importing module is used for receiving manually imported or automatically imported parameters and preprocessing, and the preprocessing process comprises format conversion and missing value processing;
the parameter comparison module is used for acquiring the checking rule from the rule configuration module, acquiring the preprocessed parameter from the data importing module, and comparing and checking the preprocessed parameter by using the checking rule;
the comparison check comprises:
checking for interoperability between different vendors or devices;
according to the deployment mode of the 5G network, checking independent networking or non-independent networking;
checking the QCI set value;
distinguishing a time division duplex mode from a frequency division duplex mode for checking;
checking according to the antenna configuration;
checking the distinguished macro station and the indoor station;
and respectively checking the throughput ratio T ', the access success rate A ' and the switching success rate S '.
The cell identification and statistics module is used for identifying cells with inconsistent appearance parameters and counting the number of the cells;
the development parameter checking module further comprises a parameter checking module, and when the comparison check finds that the parameters are inconsistent, the parameter checking module performs parameter adjustment, and updates network parameter data after the adjustment.
In this embodiment, the site parameter data includes, but is not limited to, antenna configuration, number of connection users, power setting, neighbor relation, etc., and the site parameter data is first uploaded to the data importing module. This module automatically recognizes the file format (e.g., CSV, XML, etc.) of the data and performs format conversion to conform to the system requirements. Meanwhile, a missing value processing algorithm is built in the module, and if a key parameter is missing, the module is complemented according to a predefined rule or using statistical inference.
After the preprocessing is completed, the data are transferred to a parameter comparison module. At this stage, the system will invoke the checking rules stored in the rule configuration module. The rule configuration module provides a visual interface where an engineer or administrator can customize the checking rules, such as setting power thresholds, legal neighbor distance ranges, etc., and save these rules for later use.
The parameter comparison module checks the site parameters one by one according to the checking rules, in particular, checks whether the site parameters meet the interoperability standards between multiple suppliers or devices, such as 3GPP, so as to ensure that each device can work seamlessly in a multi-supplier environment; checking whether the station accords with specific configuration requirements of independent networking (SA) or non-independent Networking (NSA), such as core network connection, control plane and user plane setting; checking whether the QCI set value meets the preset service quality requirement, relating to delay, packet loss rate, throughput and the like; checking whether the station is configured according to a correct working mode, such as Time Division Duplex (TDD) or Frequency Division Duplex (FDD), and whether specific parameters in the mode, such as uplink and downlink subframe configuration, are accurate; checking different antenna configurations, such as 64T64R or 4T4R, to determine if coverage and capacity requirements are met; identifying the site type so as to apply different optimization strategies and parameter settings; and checking the throughput ratio, the access success rate and the switching success rate to ensure that the station can meet the service quality requirement. These verification activities not only improve the overall performance and reliability of the network, but also provide an accurate and reliable data basis for subsequent automated optimization and problem diagnosis. Once the verification is complete, all non-compliant parameters are identified and adjusted to ensure network performance and stability.
Example 3
The application system based on network optimization wireless performance analysis of embodiment 2, wherein the development performance analysis module calculates a comprehensive performance index C of each geographical area through network parameter data and geographical information of a cell, and the formula of the comprehensive performance index C is as follows:
C＝w 1 T′+w 2 A′+w 3 S′，
wherein T ' is throughput ratio, A ' is access success rate, S ' is handover success rate, w 1 Is the throughput weight, w 2 Is the weight of success rate of access, w 3 Is the weight of the success rate of the switching, and the sum of the weights is 1, namely
w 1 +w 2 +w 3 ＝1。
The development performance analysis module maps the comprehensive performance index C to a specific geographic position by utilizing a Geographic Information System (GIS) technology to generate a performance heat point diagram.
In this embodiment, the throughput ratio T ' IS the ratio of the actual network throughput to the theoretical maximum throughput, the throughput IS the ratio of the number of user connections multiplied by the average per-user data rate, the access success rate a ' IS the ratio of successful access of the terminal attempting to access the network, the handover success rate S ' IS the ratio of the number of successful handovers to the total number of handover attempts, and the calculated comprehensive performance index C IS then mapped to a specific geographic location by using the geographic information system (gis) technology to generate a performance thermal map. The hot spot diagram not only intuitively displays the distribution of the network performance in each geographical area, but also provides powerful decision basis for subsequent network optimization and problem positioning. Thus, the network performance is visualized by combining the comprehensive performance index and the geographic information.
Example 4
According to the application system based on network optimization wireless performance analysis in embodiment 3, the resource synergy module extracts the user connection number of the site, evaluates the site with insufficient user connection number based on a preset alarm rule and calculates the number to be supplemented, evaluates the site with redundant user connection number according to the 7-day average value of site connection and calculates the number to be stolen, and finally adjusts and distributes the user connection number according to the evaluation result and synchronously sends the data to the development parameter checking module.
In this embodiment, the resource enhancing module first determines which sites have insufficient number of user connections according to the existing alert information, by matching the number of user connections currently allocated to the sites and calculating the required number of supplements. The data over the last 7 days, in particular the maximum number of users per cell in RRC connected state, is then used to evaluate which sites have redundant number of user connections. A reservation value such as 120 is considered here and the number of available subscriber connections is calculated on the basis of this. Based on the evaluation results of the two steps, the module generates an optimization scheme which details which sites need to increase or decrease the number of user connections. Wherein any temporarily assigned number of user connections is not incorporated into this optimization process.
The resource synergy module firstly screens out key information imported into a data table, wherein the key information comprises the following steps of average sum of the previous 7 days: the maximum number of users in the cell in the RRC connection state is used as the maximum number of users, and the use value is used as the overrun number reported by the number of user connections. For the sites with alarms, the resource synergy module calculates a user connection number gap, wherein the user connection number gap is equal to the configured user connection number minus the reported overrun use number. The number of subscriber connections to be added is then determined according to the number of gaps, according to a predetermined gradient, for example one gradient every 30. Then, the redundancy of the number of user connections of the site is calculated, and the redundancy of the number of user connections is equal to the configured number of user connections minus the maximum number of users minus a reserved value such as 120. And then, determining the number of the user connections which can be stolen according to the redundancy quantity of the number of the user connections. All of these optimizations are sent synchronously to the development parameter verification module for further verification and validation. This highly automated process not only improves network performance and user experience, but also greatly reduces problems caused by human error.
Example 5
The application system based on network excellent wireless performance analysis according to embodiment 4, wherein the 5G intelligent start-up module uses an image analysis algorithm to determine network performance strength through pixel color depth, determines boundaries of low performance areas, and generates start-up scripts.
In this embodiment, the image analysis algorithm sets a color depth threshold to distinguish between a region "hot spot" with high network performance and a region "cold spot" with low network performance. Boundary detection techniques such as Canny operators or Sobe l operators are employed to determine the boundaries of the low performance regions. Morphological operations such as erosion and dilation are performed on the identified low performance regions to remove noise and smooth boundaries. The low-performance areas in the image are then mapped back into the actual geographic coordinate system, determining the precise geographic location of the new site. The necessary site parameters, such as longitude, latitude, expected coverage, etc., are then extracted from the geographic location of the low performance area. And then automatically generating a script for opening a new site by the algorithm according to the extracted parameters and a preset network configuration template. The generated script and the new site parameters are sent to a development parameter checking module for further checking and verification. Through the series of automatic steps, the 5G intelligent start-up module can effectively identify the areas with poor performance in the network, and rapidly generate the start-up script of the new site, thereby greatly improving the start-up efficiency and accuracy.
Example 6
The application system based on network optimization wireless performance analysis of embodiment 5, wherein the development and reinsurance support module comprises:
the data screening module is used for reading the network data of the 5G network cell, screening a blacklist cell according to the network data, and comprising a zero-flow cell, a high-load cell and a high-interference cell;
the monitoring module is used for monitoring the overall KPI, faults and interference of the key scene according to the real-time data and preset conditions, and carrying out quick positioning and emergency treatment on the found problem cell;
and the reporting module is used for generating a whole hour-level KPI report and a problem cell report of the guarantee area.
In this embodiment, the development and reinsurance support module focuses on network security of VIP users and various important scenes, and the workflow thereof includes three main links: the method comprises the steps of screening and eliminating blacklist cells in the early stage, processing sudden problem cells by emergency response, and monitoring KPI, fault and interference in key scenes in real time. The development and reinsurance support module firstly identifies and eliminates the following types of blacklist cells according to the performance data in a week:
zero traffic cell: the flow per day in the near week is zero;
high load cell: the utilization rate of the downlink PRB exceeds 70% when busy in a week;
high interference cell: the uplink average interference noise in busy hours in the near week is higher than-105 dBm;
the re-protection supporting module is developed to monitor the downlink PRB utilization rate and uplink interference noise of each cell in real time, and once the high load (the downlink PRB utilization rate is more than 70%) or the high interference (the uplink interference noise is less than-105 dBm) condition is found, an alarm is immediately triggered. And then screening out important alarms affecting the service, such as abnormal radio frequency units, abnormal optical interfaces, poor standing wave ratio, and the like, and promoting the base station to rapidly process the alarms.
Based on the above data processing, the development of the reinsurance support module generates a list containing all blacklisted cells so that teams can concentrate on further diagnostics and interventions on these cells, such as reconfiguration, hardware replacement or even temporary shutdown to prevent them from negatively affecting overall network performance.
The overall hour-level KPI report is specifically a document updated in real time, and comprises Key Performance Indicators (KPIs) of cells in all guaranteed areas, such as successful access rate, disconnection rate, data throughput and the like, and is counted according to the hours. This not only provides an immediate snapshot of network health for the management layer, but also provides a utility for the operation and maintenance team to track any sudden performance degradation and take immediate action.
Problem cell notification, including zero traffic, high load and high interference, and other cells that require significant attention. These cells may perform poorly due to hardware failures, configuration errors, or external interference. The reports may detail the performance indicators of these cells and may include recommended interventions such as changing configurations, performing field checks, or upgrading hardware.
The three outputs together form a comprehensive and multi-level network monitoring and response mechanism, so that a network team can identify problems, allocate resources and take solving measures in the shortest time, and the reliability and the user experience of the network are greatly improved.
The above embodiments are merely illustrative of the preferred embodiments of the present invention and are not intended to limit the scope of the present invention, and various modifications and improvements made by those skilled in the art to the technical solution of the present invention should fall within the scope of protection defined by the claims of the present invention without departing from the spirit of the design of the present invention.
Claims (10)
1. An application system based on network optimization wireless performance analysis, comprising: a basic data unit and an intelligent optimization unit;
the basic data unit is used for digitally storing site parameters, test data and complaint information;
the intelligent optimization unit comprises a development parameter checking module, a 5G intelligent start-up module, a development performance analysis module, a resource synergy module and a development reinsurance support module;
the development parameter checking module is used for preprocessing the site parameters which are manually or automatically imported, checking and checking the parameters and updating network parameter data;
the development performance analysis module is used for carrying out geographic analysis on the 4G site and the 5G site of each cell by combining the network parameter data to obtain a performance heat point diagram;
the 5G intelligent start-up module is used for automatically generating a start-up script by using the performance hot spot diagram, extracting new station parameters from the start-up script and sending the new station parameters to the development parameter checking module;
the resource synergy module is used for carrying out connection allocation by combining the performance hot spot diagram and the real-time user connection number;
the development and reinsurance support module is used for monitoring and reporting network conditions of a preset key guarantee area in real time.
2. The application system based on network optimization wireless performance analysis according to claim 1, wherein the development parameter checking module comprises:
the rule configuration module is used for providing a visual operation interface, allowing engineers or administrators to preset and modify the checking rules, and updating and storing the checking rules for other modules to call;
the data importing module is used for receiving manually imported or automatically imported parameters and preprocessing, and the preprocessing process comprises format conversion and missing value processing;
the parameter comparison module is used for acquiring the checking rule from the rule configuration module, acquiring the preprocessed parameter from the data importing module, and comparing and checking the preprocessed parameter by using the checking rule;
and the cell identification and statistics module is used for identifying cells with inconsistent appearance parameters and counting the number of the cells.
3. The network-optimal wireless performance analysis-based application system of claim 2, wherein the comparison check comprises:
checking for interoperability between different vendors or devices;
according to the deployment mode of the 5G network, checking independent networking or non-independent networking;
checking the QCI set value;
distinguishing a time division duplex mode from a frequency division duplex mode for checking;
checking according to the antenna configuration;
checking the distinguished macro station and the indoor station;
and respectively checking the throughput ratio T ', the access success rate A ' and the switching success rate S '.
4. The application system based on network optimization wireless performance analysis according to claim 2, wherein the development parameter checking module further comprises a parameter checking module, and when the comparison check shows that the parameters are inconsistent, the parameter checking module performs parameter adjustment, and updates network parameter data after the adjustment.
5. The application system based on network optimization wireless performance analysis according to claim 1, wherein the development performance analysis module calculates a comprehensive performance index C of each geographical area through network parameter data and geographical information of a cell, and the formula of the comprehensive performance index C is as follows:
C＝w 1 T′+w 2 A′+w 3 S′，
wherein T ' is throughput ratio, A ' is access success rate, S ' is handover success rate, w 1 Is the throughput weight, w 2 Is the weight of success rate of access, w 3 Is the weight of the success rate of the switching, and the sum of the weights is 1, namely
w 1 +w 2 +w 3 ＝1。
6. The application system based on network optimization wireless performance analysis according to claim 5, wherein the development performance analysis module maps the comprehensive performance index C to a specific geographic location by using a geographic information system GIS technology to generate a performance heat map.
7. The application system based on network optimization wireless performance analysis according to claim 1, wherein the resource synergy module extracts the user connection number of the site, evaluates the site with insufficient user connection number based on a preset alarm rule and calculates the number to be supplemented, evaluates the site with redundant user connection number according to a 7-day average value of site connection and calculates the number to be stolen, and finally adjusts and distributes the user connection number according to the evaluation result and synchronously sends data to the development parameter checking module.
8. The application system based on network optimization wireless performance analysis according to claim 1, wherein the 5G intelligent start-up module uses an image analysis algorithm to receive the judgment of network performance intensity through pixel color depth, determines the boundary of a low performance area and generates a start-up script.
9. The application system based on network optimization wireless performance analysis according to claim 1, wherein the development and reinsurance support module comprises:
the data screening module is used for reading the network data of the 5G network cell, screening a blacklist cell according to the network data, and comprising a zero-flow cell, a high-load cell and a high-interference cell;
and the monitoring module is used for monitoring the overall KPI, faults and interference of the key scene according to the real-time data and preset conditions and carrying out quick positioning and emergency treatment on the found problem cell.
10. The network-optimal wireless performance analysis-based application system of claim 1, wherein the development and reinsurance support module further comprises a reporting module for generating an overall hour level KPI notification and a problem cell notification for a secured area.
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