Key parameter determination method and operation method of base station, storage medium and base station

Abstract

The invention provides a key parameter determination method and an operation method of a base station, a storage medium and the base station, and relates to the technical field of wireless communication. The performance index of the base station is calculated by acquiring the network performance parameter of the base station, and a path loss function is established according to the related physical parameter of the base station; defining a performance index exceeding a preset loss threshold as a key performance index, further determining key parameters of the base station, collecting a data transmission rate, an error rate and base station power consumption in real time, generating a base station operation threshold based on the key performance index in combination with an associated threshold interval, generating a comprehensive operation index in the last step, and comparing the comprehensive operation index with the operation threshold. And judging the operation state of the base station, and regularly optimizing and adjusting the parameters of the base station based on the operation state so as to adapt to user requirements and environment changes. According to the invention, by establishing a network performance parameter evaluation and path loss analysis method, the operation state of the base station is monitored and optimized, so that the network service quality and the resource utilization efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technology, and in particular to a method for determining key parameters of a base station, an operating method, a storage medium and a base station. Background Art

[0002] With the continuous development of wireless communication technology, especially the widespread deployment of 4G and 5G networks, the performance optimization and management of base stations as core network infrastructure have become particularly critical. The accurate measurement and real-time adjustment of key parameters of base stations (such as data transmission rate, error rate, spectrum efficiency and power consumption) directly affect user experience and network efficiency. Traditional base station management methods mostly rely on static configuration and manual intervention, which is difficult to adapt to the dynamically changing network environment and growing user needs. Therefore, intelligent and automated base station parameter optimization technology has gradually become a research hotspot.

[0003] At present, the communications industry is committed to using artificial intelligence and big data analysis technologies to improve the level of automation in base station management. By collecting and analyzing base station operation data in real time, operating parameters can be adjusted dynamically to achieve adaptive optimization. Advances in storage media have also made the processing and storage of large-scale data more efficient, laying the foundation for the intelligent operation of base stations. At the same time, the introduction of 5G networks has brought higher spectrum efficiency and a more complex network environment, forcing the industry to continue to innovate to improve the energy efficiency and performance of base stations to adapt to the development needs of future 6G and other emerging network technologies.

[0004] In the prior art, in the operation and maintenance of traditional base stations, the determination of key parameters often relies on a single performance indicator or empirical configuration, which makes it difficult to fully and accurately reflect the operating status of the base station. In addition, due to the lack of comprehensive analysis of multi-dimensional performance parameters, such as network stability, signal quality, resource utilization efficiency, etc., it is impossible to accurately locate key parameters, resulting in reduced maintenance efficiency and increased maintenance costs for base stations. In addition, traditional base station systems usually rely on fixed parameter settings and lack real-time monitoring and dynamic adjustment capabilities. Traditional methods usually use empirical values ​​or simplified models for path loss processing, which cannot accurately reflect the actual situation.

[0005] Therefore, it is necessary to provide a method for determining key parameters of a base station, an operation method, a storage medium and a base station to solve the above problems.

[0006] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0007] The object of the present invention is to provide a method for determining key parameters of a base station, an operating method, a storage medium and a base station to solve the problems raised in the above background technology.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] A method for determining key parameters of a base station, an operating method, a storage medium and a base station, the specific steps comprising:

[0010] Step 1: obtaining the current network performance parameters of the base station, the network performance parameters including access success rate, call drop rate, signal strength, network delay, average throughput and resource block utilization, and calculating and generating performance indicators representing the operation status of the base station based on different performance parameter combinations, including network stability indicators, data transmission performance indicators, signal quality indicators and resource utilization efficiency indicators;

[0011] Step 2: According to the height of the base station, the frequency of the transmitted signal, and the distance between the base station and the receiving device, a base station operation path loss function is established to calculate the path loss of each network performance indicator, and the path loss of each network performance indicator is compared with a preset loss threshold. The performance indicator exceeding the loss threshold is defined as a key performance indicator;

[0012] Step 3: Based on the key performance indicators of the base station, calculate the correlation coefficient between each network performance parameter in each key indicator and its corresponding ideal value of the network performance parameter, and combine the correlation threshold interval to determine the key parameters in the key performance indicators of the base station;

[0013] Step 4: collecting current base station operation data in real time, the current base station operation data including data transmission rate, data transmission error rate, spectrum efficiency and base station power consumption, and generating a base station operation threshold based on the collected current base station operation data;

[0014] Step 5: Generate a comprehensive operation index of the base station based on the four performance indicators obtained, compare the comprehensive operation index of the base station with the base station operation threshold, determine the operating status of the base station, and regularly optimize and adjust the base station parameters based on the operating status to adapt to changing user needs and environmental characteristics.

[0015] Furthermore, performance indicators characterizing the operation status of the base station are calculated and generated based on different performance parameter combinations, including network stability indicators, data transmission performance indicators, signal quality indicators, and resource utilization efficiency indicators, according to the following method:

[0016] The network stability index of the base station is calculated by the access success rate and call drop rate in the network performance parameters, based on the formula:

[0017]

[0018] in, Represents the network stability index, is the access success rate, is the call drop rate, is the network delay;

[0019] The data transmission performance index of the base station is calculated by the network delay, resource block utilization and average throughput in the network performance parameters, based on the formula:

[0020]

[0021] in, Indicates data transmission performance indicators, is the average throughput, is the resource block utilization;

[0022] The signal quality index of the base station is calculated through the signal strength, network delay and call drop rate in the network performance parameters, based on the formula:

[0023]

[0024] in, Indicates the signal quality indicator, is the signal strength;

[0025] The resource utilization efficiency index of the base station is calculated by the resource block utilization and average throughput in the network performance parameters, based on the formula:

[0026]

[0027] in, Represents resource utilization efficiency indicator.

[0028] Furthermore, a base station operation path loss function is established to calculate the path loss of each performance indicator, and the performance indicator exceeding the loss threshold is defined as a key performance indicator, based on the following method:

[0029] Based on the height of the base station, the frequency of the transmitted signal, and the distance between the base station and the receiving device, the base station operation path loss function is established based on the formula:

[0030]

[0031] in, represents the base station operation path loss function, For the The path loss of a performance indicator is is the distance between the base station and the receiving device, is the transmitting signal frequency, is the base station height adjustment factor, is the base station height, is the index of the base station performance indicator, ;

[0032] Establishing loss thresholds , the path loss of each performance indicator is compared with the loss threshold to identify the key performance indicator, based on the formula:

[0033]

[0034] in, Indicates the logical value for judging whether the parameter combination corresponding to each performance indicator is a key parameter combination. When The path loss corresponding to a performance indicator exceeds the loss threshold and is determined as a key performance indicator; When The path loss corresponding to the performance indicator does not exceed the loss threshold. At this time, the performance indicator is not a key performance indicator. is the loss threshold.

[0035] Furthermore, the correlation coefficient between each network performance parameter in each key performance indicator and its corresponding ideal value of the network performance parameter is calculated, and combined with the correlation threshold interval to determine the key parameters in the key performance indicator of the base station, based on the formula:

[0036]

[0037] in, Indicates Among the performance indicators The correlation coefficient between the network performance parameters and the ideal value of the network performance parameters, For the Among the performance indicators network performance parameters, is the ideal value of network performance parameters, , Respectively Among the performance indicators The mean of the network performance parameters, the mean of the ideal values ​​of the network performance parameters, is the index of the network performance parameter, and , For the The total number of network performance parameters in each performance indicator;

[0038] The calculated correlation coefficient of each network performance parameter is compared with the preset correlation threshold interval. For comparison, or When , it indicates that the network performance parameters at this time are not the key parameters of the base station; when , it indicates that the network performance parameters at this time are the key parameters of the base station.

[0039] Furthermore, the base station operation data is collected in real time, and the base station operation threshold is generated based on the collected base station operation data, and the method is as follows:

[0040] The base station operation data including data transmission rate, data transmission error rate, spectrum efficiency and base station power consumption are obtained to calculate the base station operation threshold, and the formula is as follows:

[0041]

[0042] in, Indicates the base station operation threshold, is the data transmission rate, is the data transmission error rate, is the spectrum efficiency, is the power consumption of the base station.

[0043] Further, a comprehensive operation index of the base station is generated according to the four obtained performance indicators, and the comprehensive operation index of the base station is compared with the base station operation threshold to determine the operation status of the base station, according to the method:

[0044] Based on the calculated network stability index, data transmission performance index, signal quality index and resource utilization efficiency index, the comprehensive operation index of the base station is comprehensively generated according to the formula:

[0045]

[0046] in, Represents the comprehensive operation index of the base station, , , , They represent network stability index, data transmission performance index, signal quality index, and resource utilization efficiency index respectively;

[0047] The generated comprehensive operation index is compared with the base station operation threshold to determine the operation status of the base station. According to the operation status of the base station, the key parameters are adjusted. The logic formula is as follows:

[0048]

[0049]

[0050] in, Indicates the base station operation threshold.

[0051] The present invention also provides a computer-readable storage medium, in which at least one instruction or at least one program is stored. The at least one instruction or at least one program is loaded and executed by a processor to implement the above-mentioned key parameter determination method and operation method of a base station.

[0052] The present invention further provides a base station, comprising a memory, a processor, a transceiver, and a computer program stored in the memory and executable on the processor; the computer program, when executed by the processor, executes the above-mentioned key parameter determination method and operation method of a base station.

[0053] Compared with the prior art, the present invention has the following beneficial effects:

[0054] Compared with the existing technology, the present invention provides a more efficient base station management and optimization solution. By comprehensively collecting multi-dimensional network performance parameters and integrating these data into network stability indicators, data transmission performance indicators, signal quality indicators, and resource utilization efficiency indicators through innovative algorithms, the operating status of the base station can be more accurately characterized. This multi-indicator fusion evaluation method enables the base station to identify performance anomalies in a timely manner and make rapid adjustments, thereby improving the adaptability and stability of the network;

[0055] In addition, the present invention introduces a real-time data collection and dynamic adjustment mechanism to evaluate the actual operating status of the base station through the path loss function and the comprehensive operation index. This real-time monitoring combined with dynamic optimization strategy enables the base station to quickly respond to environmental changes and fluctuations in user demand, ensuring efficient use of resources and high-performance operation of the network. At the same time, the solution also provides a more scientific path loss model and enhances the accuracy of key parameter identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a schematic diagram of the overall method flow of the present invention. DETAILED DESCRIPTION

[0057] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0058] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0059] Example:

[0060] See also Figure 1 , the present invention provides a technical solution:

[0061] A method for determining key parameters of a base station and an operating method, the specific steps comprising:

[0062] Step 1: obtaining the current network performance parameters of the base station, the network performance parameters including access success rate, call drop rate, signal strength, network delay, average throughput and resource block utilization, and calculating and generating performance indicators representing the operation status of the base station based on different performance parameter combinations, including network stability indicators, data transmission performance indicators, signal quality indicators and resource utilization efficiency indicators;

[0063] Step 2: According to the height of the base station, the frequency of the transmitted signal, and the distance between the base station and the receiving device, a base station operation path loss function is established to calculate the path loss of each network performance indicator, and the path loss of each network performance indicator is compared with a preset loss threshold. The performance indicator exceeding the loss threshold is defined as a key performance indicator;

[0064] Step 3: Based on the key performance indicators of the base station, calculate the correlation coefficient between each network performance parameter in each key indicator and its corresponding ideal value of the network performance parameter, and combine the correlation threshold interval to determine the key parameters in the key performance indicators of the base station;

[0065] Step 4: collecting current base station operation data in real time, the current base station operation data including data transmission rate, data transmission error rate, spectrum efficiency and base station power consumption, and generating a base station operation threshold based on the collected current base station operation data;

[0066] Step 5: Generate a comprehensive operation index of the base station based on the four performance indicators obtained, compare the comprehensive operation index of the base station with the base station operation threshold, determine the operating status of the base station, and regularly optimize and adjust the base station parameters based on the operating status to adapt to changing user needs and environmental characteristics.

[0067] It should be noted that the specific method for obtaining the current network performance parameters is as follows: for the access success rate, the user equipment can be monitored through the signaling system of the base station to obtain the total number of requests for accessing the network and the number of successful accesses. The ratio of the number of successful accesses to the total number of requests multiplied by 100% is the access success rate; the number of connection interruptions of ongoing calls or data sessions is monitored, and the call drop rate is calculated by calculating the ratio of the number of call drops to the number of successful connections, and then multiplying it by 100% to obtain the call drop rate; for the acquisition of signal strength, signal strength data can be collected through signal measurement reports of base stations and user equipment; the network delay is measured by recording the time interval from the user equipment sending a request to receiving a network response, which is the network delay; the average throughput is calculated by collecting the amount of transmission data and time processed by the base station, and the data transmission volume per unit time, that is, the total amount of transmission data divided by the transmission time is the average throughput; based on the LTE or 5G network architecture, the allocation and use of resource blocks are monitored to calculate the resource block utilization, that is, the ratio of the number of allocated resource blocks to the total number of available resource blocks, multiplied by 100% is the resource block utilization.

[0068] It should be noted that by combining different network performance parameters to calculate the comprehensive performance indicators of base station operation, the actual operation status of the base station can be evaluated more comprehensively and accurately. This indicator calculation method uses key parameters such as access success rate, call drop rate, network latency, average throughput, signal strength and resource block utilization to generate specific indicators of network stability, data transmission performance, signal quality and resource utilization efficiency. These indicators provide a multi-dimensional evaluation of base station performance, which helps to identify potential performance issues and improve the operating efficiency and service quality of base stations, thereby supporting more accurate optimization and adjustment strategies to ensure network stability and user satisfaction.

[0069] Therefore, it is necessary to calculate and generate performance indicators that characterize the operation status of base stations based on different performance parameter combinations, including network stability indicators, data transmission performance indicators, signal quality indicators, and resource utilization efficiency indicators. The methods used are as follows:

[0070] The network stability index of the base station is calculated by the access success rate and call drop rate in the network performance parameters, based on the formula:

[0071]

[0072] in, Represents the network stability index, is the access success rate, is the call drop rate, is the network delay; in the above formula, the access success rate The larger the network stability index is, the The higher the call drop rate, the higher the network connection success rate, and the base station can provide services to users more stably; The increase in The lower the value, the less reliable the connection is and the lower the user experience may be. The larger the The lower it is, the more network latency issues will have a negative impact on the overall stability of the base station, resulting in decreased network stability; therefore, The higher the better, which means the base station has better network stability and can be used to further provide users with high-quality services.

[0073] The data transmission performance index of the base station is calculated by the network delay, resource block utilization and average throughput in the network performance parameters, based on the formula:

[0074]

[0075] in, Indicates data transmission performance indicators, is the average throughput, is the resource block utilization; in the above formula, the average throughput The larger the data transmission performance index The higher the resource block utilization, the stronger the data transmission capacity. The base station can process a large number of data requests more effectively, providing users with faster network speed and better service quality. The increase will also make Increase, indicating that the spectrum resources of the base station are effectively utilized, further enhancing the data transmission efficiency; but the network delay The increase will lead to This indicates that the delay in the data transmission process has a negative impact on the performance, resulting in a decrease in the real-time performance of the data transmission process; therefore, The higher the better, indicating that the base station has better performance in data transmission, and can handle high data volumes and effectively utilize resources with low latency, allowing users to enjoy a smoother network experience.

[0076] The signal quality index of the base station is calculated through the signal strength, network delay and call drop rate in the network performance parameters, based on the formula:

[0077]

[0078] in, Indicates the signal quality indicator, is the signal strength; in the above formula, the signal strength Increase, signal quality indicator will increase, which means the signal quality is better, the base station can provide a more stable and strong connection, and the call drop rate The increase in signal quality index A decrease means that the connection interruption rate increases, which may cause users to be disconnected during calls or data transmission, thereby reducing the signal quality performance; network delay The increase in signal quality will Decreased, higher latency often leads to data transmission or call interruption, reducing user experience; therefore, The higher the better, indicating better signal quality.

[0079] The resource utilization efficiency index of the base station is calculated by the resource block utilization and average throughput in the network performance parameters, based on the formula:

[0080]

[0081] in, Indicates the resource utilization efficiency index; in the above formula, the resource block utilization Increase, resource utilization efficiency index The increase means that the base station spectrum resources are more efficiently utilized, and the average throughput is The increase in Increased, indicating greater data transmission capacity, resources are used more efficiently; therefore, The higher the better, indicating that the base station can use its resources more efficiently and provide high-quality services to more users.

[0082] It should be noted that by obtaining the physical characteristics of the base station, the path loss of each performance indicator can be accurately calculated, and the operating status of the base station under different environments and conditions can be evaluated. Setting a loss threshold and comparing it with the calculated path loss can help identify key parameter combinations that exceed the predetermined loss standard, discover potential problems in a timely manner, and ensure that the performance of the base station is in the best state. This process can not only improve the stability of the network and the efficiency of data transmission, but also optimize resource utilization, improve user experience and the overall operational efficiency of the base station.

[0083] Therefore, it is necessary to establish a base station operation path loss function to calculate the path loss of each performance indicator, and define the performance indicator that exceeds the loss threshold as the key performance indicator. The method is based on:

[0084] Based on the height of the base station, the frequency of the transmitted signal, and the distance between the base station and the receiving device, the base station operation path loss function is established based on the formula:

[0085]

[0086] in, represents the base station operation path loss function, For the The path loss of a performance indicator, is the distance between the base station and the receiving device, is the transmitting signal frequency, is the base station height adjustment factor, is the base station height, is the index of the base station performance indicator, ; In the above formula for calculating the base station operation path loss, the distance between the base station and the receiving device is The larger the value, the greater the path loss. That is, the longer the distance, the more obvious the signal attenuation. The higher the value, the greater the path loss. This is because the propagation characteristics of wireless signals are closely related to the frequency. Higher-frequency signals usually attenuate faster than low-frequency signals, which leads to increased path loss. The height of the base station. Generally, the higher the base station, the wider the signal propagation range, that is, the higher the coverage, which will reduce the path loss. However, a height adjustment factor is needed to limit the base station height, because a base station that is too high may also cause the signal to penetrate rather than reflect back, which may reduce the coverage efficiency. Therefore, a height adjustment factor is needed to adjust it.

[0087] Establishing loss thresholds , the path loss of each performance indicator is compared with the loss threshold to identify the key performance indicator, based on the formula:

[0088]

[0089] in, Indicates the logical value for judging whether the parameter combination corresponding to each performance indicator is a key parameter combination. When The path loss corresponding to a performance indicator exceeds the loss threshold and is determined as a key performance indicator; When The path loss corresponding to the performance indicator does not exceed the loss threshold. At this time, the performance indicator is not a key performance indicator. is the loss threshold.

[0090] It should be noted that by calculating the correlation coefficient between each network performance parameter in each key indicator and its corresponding ideal value, the deviation of base station performance from the ideal state can be effectively evaluated. The importance of this method lies in that it can not only identify which network performance parameters have a significant impact on the overall performance of the base station under the current operating state, but also provide a scientific basis for the optimization and adjustment of the base station. By comparing the correlation coefficient with the preset correlation threshold range, it can be clarified which parameters are the key parameters of the base station, thereby providing data support for improving network quality and user experience, and ensuring that the base station maintains an efficient operating state under changing environments and user needs; it should be noted that each network performance parameter and its corresponding ideal value of the network performance parameter refer to the network performance parameters under the ideal operating state of the base station, including access success rate, call drop rate, signal strength, network delay, average throughput and resource block utilization.

[0091] Therefore, it is necessary to calculate the correlation coefficient between each network performance parameter in each key performance indicator and its corresponding ideal value of the network performance parameter, and combine the correlation threshold interval to determine the key parameters in the base station key performance indicators. The formula is:

[0092]

[0093] in, Indicates Among the performance indicators The correlation coefficient between the network performance parameters and the ideal value of the network performance parameters, For the Among the performance indicators network performance parameters, is the ideal value of network performance parameters, , Respectively Among the performance indicators The mean of the network performance parameters, the mean of the ideal values ​​of the network performance parameters, is the index of the network performance parameter, and , For the The total number of network performance parameters in each performance indicator;

[0094] The calculated correlation coefficient of each network performance parameter is compared with the preset correlation threshold interval. For comparison, or When , it indicates that the network performance parameters at this time are not the key parameters of the base station; when , it indicates that the network performance parameters at this time are the key parameters of the base station.

[0095] It should be noted that by comprehensively analyzing the data transmission rate, data transmission error rate, spectrum efficiency and base station power consumption, calculating the base station operation threshold can effectively evaluate the current status of the base station. This threshold provides a key reference for measuring base station performance and resource utilization efficiency, helping operators to promptly discover potential problems such as abnormal data transmission, excessive energy consumption or insufficient spectrum utilization, thereby achieving refined management, optimizing resource scheduling, and improving users' network experience.

[0096] Therefore, it is necessary to collect base station operation data in real time, and generate base station operation thresholds based on the collected base station operation data. The method is as follows:

[0097] The base station operation data including data transmission rate, data transmission error rate, spectrum efficiency and base station power consumption are obtained to calculate the base station operation threshold, and the formula is as follows:

[0098]

[0099] in, Indicates the base station operation threshold, is the data transmission rate, is the data transmission error rate, is the spectrum efficiency, is the power consumption of the base station; in the above formula, the data transmission rate The increase in the base station operation threshold The increase in data transmission rate means higher network throughput and user experience, reflecting the improvement of base station data transmission capabilities and the increase of base station operation threshold; data transmission error rate The decrease will lead to As the error rate increases, the lower the data transmission error rate, the higher the network reliability. This means that a lower error rate will lead to an increase in the base station operation threshold, indicating that the current base station network quality is good. Spectrum efficiency Increase will lead to The higher the spectrum efficiency, the more effective the base station's resource utilization is when transmitting data, which means that higher spectrum utilization enables the base station to support more users or higher data flows under the same conditions, increasing the base station's operating threshold. Reduction will lead to Increases, indicating that the base station has high energy efficiency and can reduce energy consumption while providing high-quality services. The base station is in operation, which increases the base station operation threshold. Therefore, the larger the base station operation threshold, the better, indicating that the network performance, reliability, resource utilization efficiency and energy efficiency are at a high level. A larger operation threshold reflects that the base station is in good operation and can operate stably under high load conditions.

[0100] It should be noted that by generating a comprehensive operation index of a base station and comparing it with the base station operation threshold, the operation status of the base station can be effectively evaluated, so that potential problems can be discovered in a timely manner and corresponding measures can be taken. The calculation of the comprehensive operation index takes into account a number of key indicators such as network stability, data transmission performance, signal quality and resource utilization efficiency, ensuring the comprehensiveness and accuracy of the evaluation.

[0101] Therefore, it is necessary to generate a comprehensive operation index of the base station based on the four performance indicators obtained, compare the comprehensive operation index of the base station with the base station operation threshold, and judge the operation status of the base station. The method is as follows:

[0102] Based on the calculated network stability index, data transmission performance index, signal quality index and resource utilization efficiency index, the comprehensive operation index of the base station is comprehensively generated according to the formula:

[0103]

[0104] in, Represents the comprehensive operation index of the base station, , , , They represent network stability index, data transmission performance index, signal quality index and resource utilization efficiency index respectively; in the above formula, Through The exponential function with base To influence, when When increasing, The exponential function is used because network stability is the basis for base station operation, and stability affects the continuity and reliability of network connection. Small changes can lead to This indicates that when network stability is low, the operation status of the base station may be seriously affected even if other indicators are good; By squaring To influence, when When increasing, It also increases, indicating that the improvement of data transmission performance will greatly improve the overall operation of the base station, which means that the user experience on the network is smoother. The reason why the square function is used to represent and The relationship between the two is because data transmission performance is directly related to user experience. The square function emphasizes the importance of performance improvement, especially in the case of high data traffic. A small performance improvement will lead to a large improvement in the operation index, while a performance degradation will have a more negative impact on the operation index. Through the natural logarithm To influence, when When increasing, It also increases, which means that the improvement of signal quality helps to improve the overall operation status of the base station. The reason why the logarithmic function is used is that signal quality is the key to ensuring connection stability and data transmission rate. The use of the logarithmic function can make a small improvement in signal quality produce a relatively obvious effect in the operation index. The characteristics of the logarithmic function make the improvement effect more obvious when the signal quality is poor, but when the signal quality is already very good, the marginal effect of further improvement gradually decreases; when When increasing, The increase in the base station resource utilization efficiency will provide better services to users. The direct use of resource utilization efficiency is because it directly reflects the effective use of resources by the base station in data transmission. It is a linear relationship that simply and directly represents the resource usage of the base station, ensuring that its impact can be directly reflected in the comprehensive operation index.

[0105] The generated comprehensive operation index is compared with the base station operation threshold to determine the operation status of the base station. According to the operation status of the base station, the key parameters are adjusted. The logic formula is as follows:

[0106]

[0107]

[0108] in, Indicates the base station operation threshold;

[0109] It should be noted that the method for regular adjustment of base stations is to set a reasonable monitoring frequency, such as weekly or monthly, and regularly collect various performance indicators according to changes in network traffic and user needs, use automated tools and algorithms to analyze the collected data, generate a comprehensive operation index, and calculate the comprehensive operation index based on the current performance indicators after each monitoring. , and the base station operation threshold Performing comparisons, and identifying key parameters that affect the comprehensive operation index based on the analysis results, which may include but are not limited to transmission power, spectrum allocation, signal modulation method, resource allocation strategy, etc.;

[0110] The specific adjustment methods are: adjust the base station's transmission power according to signal quality and coverage requirements; reallocate spectrum resources and optimize spectrum usage to improve data transmission performance; upgrade base station hardware or software according to technological development; optimize the base station's network configuration and parameter settings to improve network stability and resource utilization efficiency.

[0111] After the adjustment is implemented, continue to monitor the performance indicators of the base station, calculate the new comprehensive operation index, compare it with the base station operation threshold, and evaluate the adjustment effect. If it is still in a sub-operational state, repeat the above method until , until the base station is in operation.

[0112] The present invention also provides a computer-readable storage medium, in which at least one instruction or at least one program is stored. The at least one instruction or at least one program is loaded and executed by a processor to implement the above-mentioned key parameter determination method and operation method of a base station.

[0113] The present invention further provides a base station, comprising a memory, a processor, a transceiver, and a computer program stored in the memory and executable on the processor; the computer program, when executed by the processor, executes the above-mentioned key parameter determination method and operation method of a base station.

[0114] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0115] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0116] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0117] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A method for determining key parameters of a base station and an operating method, characterized in that: The specific steps include: Step 1: obtaining the current network performance parameters of the base station, the network performance parameters including access success rate, call drop rate, signal strength, network delay, average throughput and resource block utilization, and calculating and generating performance indicators representing the operation status of the base station based on different performance parameter combinations, including network stability indicators, data transmission performance indicators, signal quality indicators and resource utilization efficiency indicators; Step 2: According to the height of the base station, the frequency of the transmitted signal, and the distance between the base station and the receiving device, a base station operation path loss function is established to calculate the path loss of each network performance indicator, and the path loss of each network performance indicator is compared with a preset loss threshold. The performance indicator exceeding the loss threshold is defined as a key performance indicator; Step 3: Based on the key performance indicators of the base station, calculate the correlation coefficient between each network performance parameter in each key indicator and its corresponding ideal value of the network performance parameter, and combine the correlation threshold interval to determine the key parameters in the key performance indicators of the base station; Step 4: collecting current base station operation data in real time, the current base station operation data including data transmission rate, data transmission error rate, spectrum efficiency and base station power consumption, and generating a base station operation threshold based on the collected current base station operation data; Step 5: Generate a comprehensive operation index of the base station based on the four performance indicators obtained, compare the comprehensive operation index of the base station with the base station operation threshold, determine the operating status of the base station, and regularly optimize and adjust the base station parameters based on the operating status to adapt to changing user needs and environmental characteristics.

2. The key parameter determination method and operation method of a base station according to claim 1, characterized in that: The performance indicators that characterize the operation status of the base station are calculated based on different performance parameter combinations, including network stability indicators, data transmission performance indicators, signal quality indicators, and resource utilization efficiency indicators. The method used is as follows: The network stability index of the base station is calculated by the access success rate and call drop rate in the network performance parameters, based on the formula: in, Represents the network stability index, is the access success rate, is the call drop rate, is the network delay; The data transmission performance index of the base station is calculated by the network delay, resource block utilization and average throughput in the network performance parameters, based on the formula: in, Indicates data transmission performance indicators, is the average throughput, is the resource block utilization; The signal quality index of the base station is calculated through the signal strength, network delay and call drop rate in the network performance parameters, based on the formula: in, Indicates the signal quality indicator, is the signal strength; The resource utilization efficiency index of the base station is calculated by the resource block utilization and average throughput in the network performance parameters, based on the formula: in, Represents resource utilization efficiency indicator.

3. The key parameter determination method and operation method of a base station according to claim 1, characterized in that: A base station operation path loss function is established to calculate the path loss of each performance indicator, and the performance indicator exceeding the loss threshold is defined as the key performance indicator. The method is based on: Based on the height of the base station, the frequency of the transmitted signal, and the distance between the base station and the receiving device, the base station operation path loss function is established based on the formula: in, represents the base station operation path loss function, For the The path loss of a performance indicator is is the distance between the base station and the receiving device, is the transmitting signal frequency, is the base station height adjustment factor, is the base station height, is the index of the base station performance indicator, ; Establishing loss thresholds , the path loss of each performance indicator is compared with the loss threshold to identify the key performance indicator, based on the formula: in, Indicates the logical value for judging whether the parameter combination corresponding to each performance indicator is a key parameter combination. When The path loss corresponding to a performance indicator exceeds the loss threshold and is determined as a key performance indicator; When The path loss corresponding to the performance indicator does not exceed the loss threshold. At this time, the performance indicator is not a key performance indicator. is the loss threshold.

4. The key parameter determination method and operation method of a base station according to claim 1, characterized in that: The correlation coefficient between each network performance parameter in each key performance indicator and its corresponding ideal value of the network performance parameter is calculated, and combined with the correlation threshold interval to determine the key parameters in the base station key performance indicator, based on the formula: in, Indicates Among the performance indicators The correlation coefficient between the network performance parameters and the ideal value of the network performance parameters, For the Among the performance indicators network performance parameters, is the ideal value of network performance parameters, , Respectively Among the performance indicators The mean of the network performance parameters, the mean of the ideal values ​​of the network performance parameters, is the index of the network performance parameter, and , For the The total number of network performance parameters in each performance indicator; The calculated correlation coefficient of each network performance parameter is compared with the preset correlation threshold interval. For comparison, or When , it indicates that the network performance parameters at this time are not the key parameters of the base station; when , it indicates that the network performance parameters at this time are the key parameters of the base station.

5. The key parameter determination method and operation method of a base station according to claim 1, characterized in that: The base station operation data is collected in real time, and the base station operation threshold is generated based on the collected base station operation data, and the method is based on: The base station operation data including data transmission rate, data transmission error rate, spectrum efficiency and base station power consumption are obtained to calculate the base station operation threshold, and the formula is as follows: in, Indicates the base station operation threshold, is the data transmission rate, is the data transmission error rate, is the spectrum efficiency, is the power consumption of the base station.

6. The key parameter determination method and operation method of a base station according to claim 1, characterized in that: The comprehensive operation index of the base station is generated based on the four performance indicators obtained, and the comprehensive operation index of the base station is compared with the base station operation threshold to determine the operation status of the base station. The method is based on: Based on the calculated network stability index, data transmission performance index, signal quality index and resource utilization efficiency index, the comprehensive operation index of the base station is comprehensively generated according to the formula: in, Represents the comprehensive operation index of the base station, , , , They represent network stability index, data transmission performance index, signal quality index, and resource utilization efficiency index respectively; The generated comprehensive operation index is compared with the base station operation threshold to determine the operation status of the base station. According to the operation status of the base station, the key parameters are adjusted. The logic formula is as follows: in, Indicates the base station operation threshold.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one instruction or at least one program, and the at least one instruction or at least one program is loaded and executed by the processor to implement a key parameter determination method and an operation method of a base station as described in any one of claims 1-6.

8. A base station, comprising a memory, a processor, a transceiver, and a computer program stored in the memory and executable on the processor; characterized in that: When the computer program is run by the processor, the computer program executes the key parameter determination method and operation method of a base station described in claims 1-6.

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