Wireless network planning method and device based on terminal network data

Abstract

The invention discloses a wireless network planning method and device based on terminal network data, and the device comprises a data acquisition unit, a data adjustment unit, a data analysis unit, a data processing unit, a planning analysis unit, and an optimization verification unit, and relates to the technical field of network planning. According to the wireless network planning method and device based on the terminal network data, comprehensive, real-time, accurate and dynamic monitoring and optimization of the wireless network are realized. According to the device and the method, the operation state of the network can be monitored in real time, the network can be optimized and adjusted, the efficiency of network planning can be greatly improved, human resources are saved, the stability and the efficiency of network operation are improved, and the satisfaction degree of users is improved; and state evaluation of the terminal network is carried out again to form closed-loop optimization, so that automation of network planning is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of network planning, and in particular to a method and device for wireless network planning based on terminal network data. Background Art

[0002] With the rapid development of wireless communication technology, wireless networks are increasingly used in various fields. However, due to the complexity and uncertainty of wireless networks, how to effectively plan and manage wireless networks has become an important issue. Traditional wireless network planning methods mainly rely on manual experience and rules, which are not only inefficient but also difficult to adapt to changes in the network environment.

[0003] In wireless networks, key performance data of terminal networks, such as wireless signal strength, network latency, and packet loss rate, directly affect the operation status of the network and the user experience. Therefore, real-time monitoring and analysis of these key performance data are of great significance for the planning and management of wireless networks.

[0004] However, existing wireless network planning devices and methods often ignore this point. They usually only focus on the overall performance of the network, but ignore the operating status of each terminal network. This results in the network planning results often not meeting actual needs, and cannot effectively improve the network performance and user experience.

[0005] Therefore, there is an urgent need for a wireless network planning device and method based on terminal network data, which can monitor and analyze the key performance data of each terminal network in real time, so as to accurately evaluate the operating status of the network and provide a scientific basis for network planning and management. Summary of the invention

[0006] In view of the deficiencies of the prior art, the present invention provides a method and device for wireless network planning based on terminal network data, which solves the problems raised in the background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: A wireless network planning method based on terminal network data comprises the following steps:

[0008] Step 1: Data Acquisition

[0009] Acquire all terminal networks within the target range and collect key performance data of each terminal network, including wireless signal strength, network latency, and packet loss rate;

[0010] Step 2: Data Adjustment

[0011] The key performance data is periodically adjusted and processed to obtain the packet loss rate within the standard period, the average value of the wireless signal strength collected by each node within the standard period, and the average value of the network delay of each data packet transmission within the standard period;

[0012] Step 3: Data Analysis

[0013] Perform operation analysis on the key performance data of all terminal networks and obtain the operation status score of each terminal network:

[0014] Step 4: Data processing

[0015] According to multiple operation status values ​​of the terminal network within the target planning period, the status determination value of each terminal network is obtained by processing;

[0016] Step 5: Planning and Analysis

[0017] By comparing the state judgment value with the preset state judgment threshold, and determining whether the corresponding terminal network needs to be scheduled based on the judgment result, and determining the performance optimization index, and inputting the optimization index into the pre-trained optimization model, the corresponding network optimization solution is obtained.

[0018] Preferably, the packet loss rate refers to the ratio of packets that fail to successfully reach the destination due to various reasons during network transmission;

[0019] Wireless signal strength refers to the power level of the wireless signal received by the wireless terminal;

[0020] Network latency refers to the time it takes for data to travel from the sender to the receiver.

[0021] Preferably, the periodic adjustment processing method is as follows:

[0022] Determine the packet loss rate based on a preset standard period;

[0023] In the same preset standard time period, the wireless signal strength collected by each node is obtained, and the average is calculated, and the value is recorded as the standard signal strength;

[0024] In a preset standard period, the network delay of each data packet transmission is obtained, and the average value is calculated, and the value is recorded as the standard delay;

[0025] Preferably, the operation analysis processing method is as follows:

[0026] De-dimension the standard signal strength, standard delay, and packet loss rate and obtain their numerical values;

[0027] Then substitute it into the preset running status scoring formula to obtain the running status value.

[0028] Preferably, the running status scoring formula is as follows:

[0029]

[0030] Wherein, P represents the operating state value, WQ represents the parameter value of the standard signal strength, YC represents the parameter value of the standard delay, DS represents the parameter value of the packet loss rate, λ1, λ2, and λ3 represent the preset standard signal strength proportion coefficient, standard delay proportion coefficient, and packet loss rate proportion coefficient, respectively, β represents the compensation factor, and 0<β<1.

[0031] Preferably, the specific method of step 4 is as follows:

[0032] Step 1. Divide the target planning period into m planning periods of equal length according to the duration corresponding to the standard period, and mark each planning period in the target planning period as Gi, where i = 1, 2, ...m, and m represents the number of all planning periods in the target planning period;

[0033] Step 2, select a terminal network as the analysis object, and obtain the operation status value of each planning period Gi in the target planning cycle corresponding to the analysis, and mark it as ZT i;

[0034] Step 3, then substitute ZT i into the preset variance formula Calculate the deviation value P1 of the operating state value ZT i within all planning periods Gi;

[0035] Among them, ZTp is the average value of the corresponding operating state value participating in the calculation of the corresponding deviation value, and then P1 is compared with the preset deviation threshold Py:

[0036] If P1≥Py, it means that the deviation values ​​of all running status values ​​are large. Then, the corresponding ZT i values ​​are deleted in descending order according to |ZT i-ZTp| and the remaining deviation values ​​P1 are calculated accordingly until P1<Py;

[0037] Step 4. Then extract the undeleted ZT i, calculate the average value of the undeleted ZT i, and then mark the average value as the state judgment value.

[0038] Preferably, in step five,

[0039] If the status determination value is greater than or equal to the preset status determination threshold, there is no need to optimize and adjust the terminal network;

[0040] If the state determination value is less than the preset state determination threshold, the optimization index of the terminal network is analyzed;

[0041] Among them, the network optimization plan is the optimization rules pre-set by network engineers and then imported into the optimization model.

[0042] Preferably, the optimization index is obtained as follows:

[0043] Obtain standard performance data of the terminal network, including wireless signal strength threshold, network delay threshold, and packet loss rate threshold;

[0044] Then the difference between the standard signal strength and the wireless signal strength threshold is calculated. If the difference is negative, its absolute value is taken as the strength optimization index, otherwise it is not.

[0045] At the same time, the difference between the packet loss rate and the packet loss rate threshold is calculated. If the difference is positive, it is used as the loss optimization indicator, otherwise it is not.

[0046] And calculate the difference between the standard delay and the network delay threshold. If the difference is positive, it is used as a delay optimization indicator, otherwise it is not.

[0047] Among them, the standard performance data is the minuend in the difference calculation formula.

[0048] Preferably, the method further includes: Step 6: Optimization and verification

[0049] Adjust the terminal network according to the optimization plan, and obtain the key performance data of each terminal network after adjustment, and then evaluate the status of the terminal network again according to steps 2 to 5.

[0050] A wireless network planning device based on terminal network data, the device is implemented by the above-mentioned wireless network planning method based on terminal network data, and the device includes:

[0051] A data acquisition unit, used to acquire all terminal networks within a target range and collect key performance data of each terminal network;

[0052] A data adjustment unit, used to periodically adjust key performance data and obtain the packet loss rate within the standard period, the average value of the wireless signal strength collected by each node within the standard period, and the average value of the network delay of each data packet transmission within the standard period;

[0053] The data analysis unit performs operation analysis on the key performance data of all terminal networks and obtains the operation status score of each terminal network;

[0054] A data processing unit, used to process and obtain a state determination value of each terminal network according to multiple operation state values ​​of the terminal network within a target planning period;

[0055] A planning and analysis unit, used to compare the state determination value with a preset state determination threshold, and determine whether the corresponding terminal network needs to be scheduled according to the determination result, and determine the performance optimization index according to the basic information of the adjacent terminal network;

[0056] The optimization verification unit is used to obtain the key performance data of the terminal network after adjustment according to the optimization plan, and then the status of the terminal network is evaluated again through the data adjustment unit, data analysis unit, data processing unit, and planning analysis unit.

[0058] The present invention provides a wireless network planning method and device based on terminal network data. Compared with the prior art, it has the following beneficial effects:

[0059] Comprehensiveness: By collecting and analyzing key performance data of all terminal networks, we can fully understand the operating status of the network and conduct more accurate network planning.

[0060] Real-time: By periodically adjusting and processing key performance data, the network's operating status can be monitored in real time, and problems can be discovered and resolved in a timely manner.

[0061] Accuracy: By running analysis of key performance data and deriving the operating status score of each terminal network, the operating efficiency and quality of the network can be accurately evaluated.

[0062] Dynamicity: By processing the status judgment value of each terminal network based on multiple operating status values ​​of the terminal network within the target planning cycle, dynamic monitoring and management of the network operating status can be achieved.

[0063] Optimization: By comparing the state judgment value with the preset state judgment threshold and determining whether the corresponding terminal network needs to be scheduled based on the judgment result, the network can be optimized and adjusted.

[0064] Automation: By obtaining the key performance data of the terminal network after adjustment according to the optimization plan, the terminal network status is evaluated again to form a closed-loop optimization and realize the automation of network planning.

[0065] Improve efficiency: It can greatly improve the efficiency of network planning, save human resources, and improve the stability and efficiency of network operation.

[0066] Improve user experience: By continuously optimizing the network, users' network experience can be improved and user satisfaction can be increased. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 It is a schematic diagram of the process of the present invention;

[0068] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0069] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0070] As embodiment 1 of the present invention

[0071] See also Figure 1-Figure 2 The present invention provides a technical solution: a wireless network planning device based on terminal network data, comprising:

[0072] A data acquisition unit, used to acquire all terminal networks within a target range and collect key performance data of each terminal network;

[0073] A data adjustment unit, used to periodically adjust key performance data and obtain the packet loss rate within the standard period, the average value of the wireless signal strength collected by each node within the standard period, and the average value of the network delay of each data packet transmission within the standard period;

[0074] The data analysis unit performs operation analysis on the key performance data of all terminal networks and obtains the operation status score of each terminal network;

[0075] A data processing unit, used to process and obtain a state determination value of each terminal network according to multiple operation state values ​​of the terminal network within a target planning period;

[0076] A planning and analysis unit, used to compare the state determination value with a preset state determination threshold, and determine whether the corresponding terminal network needs to be scheduled according to the determination result, and determine the performance optimization index according to the basic information of the adjacent terminal network;

[0077] Embodiment 2

[0078] As the second embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of the present embodiment is different from that of the first embodiment only in that the present embodiment further includes:

[0079] The optimization verification unit is used to obtain the key performance data of the terminal network after adjustment according to the optimization plan, and then the status of the terminal network is evaluated again through the data adjustment unit, data analysis unit, data processing unit, and planning analysis unit to form a closed-loop optimization.

[0080] Embodiment 3

[0081] As the third embodiment of the present invention, when the present application is specifically implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments mentioned above for implementation.

[0082] A wireless network planning method based on terminal network data, the method is implemented by the above-mentioned wireless network planning device based on terminal network data, and the method comprises the following steps:

[0083] Step 1: Data Acquisition

[0084] Acquire all terminal networks within the target range and collect key performance data of each terminal network, including wireless signal strength, network latency, and packet loss rate;

[0085] The packet loss rate refers to the rate at which a packet fails to reach its destination due to various reasons during network transmission.

[0086] Wireless signal strength refers to the power level of the wireless signal received by the wireless terminal;

[0087] Network latency refers to the time it takes for data to travel from the sender to the receiver;

[0088] This embodiment can fully understand the operation status of the network by collecting and analyzing the key performance data of all terminal networks, so as to carry out more accurate network planning;

[0089] Step 2: Data Adjustment

[0090] The key performance data is periodically adjusted and processed to obtain the packet loss rate within the standard period, the average value of the wireless signal strength collected by each node within the standard period, and the average value of the network delay of each data packet transmission within the standard period;

[0091] The adjustment process is as follows:

[0092] Determine the packet loss rate based on a preset standard period;

[0093] In the same preset standard time period, the wireless signal strength collected by each node is obtained, and the average is calculated, and the value is recorded as the standard signal strength;

[0094] In a preset standard period, the network delay of each data packet transmission is obtained, and the average value is calculated, and the value is recorded as the standard delay;

[0095] This embodiment can monitor the operation status of the network in real time and promptly discover and solve problems by periodically adjusting and processing key performance data;

[0096] Step 3: Data Analysis

[0097] Perform operation analysis on the key performance data of all terminal networks and obtain the operation status score of each terminal network:

[0098] The operation analysis process is as follows:

[0099] De-dimension the standard signal strength, standard delay, and packet loss rate and obtain their numerical values;

[0100] Then substitute it into the preset running status scoring formula to get the running status value; the running status scoring formula is as follows:

[0101]

[0102] Wherein, P represents the running state value, WQ represents the parameter value of the standard signal strength, YC represents the parameter value of the standard delay, DS represents the parameter value of the packet loss rate, λ1, λ2, λ3 represent the preset standard signal strength proportion coefficient, standard delay proportion coefficient, and packet loss rate proportion coefficient, β represents the compensation factor, and 0<β<1;

[0103] This embodiment analyzes the key performance data to obtain the operation status score of each terminal network, so as to accurately evaluate the operation efficiency and quality of the network;

[0104] Step 4: Data processing

[0105] According to multiple operation status values ​​of the terminal network within the target planning period, the status determination value of each terminal network is obtained by processing;

[0106] The specific method is as follows:

[0107] Step 1. Divide the target planning period into m planning periods of equal length according to the duration corresponding to the standard period, and mark each planning period in the target planning period as Gi, where i = 1, 2, ...m, and m represents the number of all planning periods in the target planning period;

[0108] Step 2, select a terminal network as the analysis object, and obtain the operation status value of each planning period Gi in the target planning cycle corresponding to the analysis, and mark it as ZT i;

[0109] Step 3, then substitute ZT i into the preset variance formula Calculate the deviation value P1 of the operating state value ZT i within all planning periods Gi;

[0110] Among them, ZTp is the average value of the corresponding operating state value participating in the calculation of the corresponding deviation value, and then P1 is compared with the preset deviation threshold Py:

[0111] If P1≥Py, it means that the deviation values ​​of all running status values ​​are large. Then, the corresponding ZT i values ​​are deleted in descending order according to |ZT i-ZTp| and the remaining deviation values ​​P1 are calculated accordingly until P1<Py;

[0112] Step 4, then extract the undeleted ZT i, calculate the average value of the undeleted ZT i, and then mark the average value as the state judgment value;

[0113] This embodiment can realize dynamic monitoring and management of network operation status by processing and obtaining the status determination value of each terminal network according to multiple operation status values ​​of the terminal network within the target planning period;

[0114] Step 5: Planning and Analysis

[0115] By comparing the state determination value with the preset state determination threshold, and determining whether the corresponding terminal network needs to be scheduled according to the determination result, and determining the performance optimization index;

[0116] If the status determination value is greater than or equal to the preset status determination threshold, there is no need to optimize and adjust the terminal network;

[0117] If the state determination value is less than the preset state determination threshold, the optimization index of the terminal network is analyzed, and the optimization index is input into the pre-trained optimization model to obtain the corresponding network optimization solution;

[0118] Among them, the network optimization plan is the optimization rules pre-set by the network engineer, which are then imported into the optimization model;

[0119] The optimization index is derived as follows:

[0120] Obtain standard performance data of the terminal network, including wireless signal strength threshold, network delay threshold, and packet loss rate threshold;

[0121] Then the difference between the standard signal strength and the wireless signal strength threshold is calculated. If the difference is negative, its absolute value is taken as the strength optimization index, otherwise it is not.

[0122] At the same time, the difference between the packet loss rate and the packet loss rate threshold is calculated. If the difference is positive, it is used as the loss optimization indicator, otherwise it is not.

[0123] And calculate the difference between the standard delay and the network delay threshold. If the difference is positive, it is used as a delay optimization indicator, otherwise it is not.

[0124] Among them, the standard performance data is the minuend in the difference calculation formula;

[0125] Step 6: Optimization and Verification

[0126] Adjust the terminal network according to the optimization plan, and obtain the key performance data of each adjusted terminal network. Then, according to steps 2 to 5, evaluate the status of the terminal network again to form a closed-loop optimization.

[0127] This embodiment can effectively optimize and adjust the network by comparing the state determination value with the preset state determination threshold and determining whether the corresponding terminal network needs scheduling based on the determination result;

[0128] This embodiment obtains key performance data of the terminal network after adjustment according to the optimization plan, and then re-evaluates the status of the terminal network to form a closed-loop optimization and realize the automation of network planning; by continuously optimizing the network, the user's network usage experience can be improved and user satisfaction can be increased.

[0129] 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 and thresholds in the formula are set by technicians in this field according to actual conditions.

[0130] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0131] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A wireless network planning method based on terminal network data, characterized in that: The following steps are involved: Step 1: Obtain all terminal networks within the target range and collect key performance data of each terminal network, including wireless signal strength, network delay, and packet loss rate; Step 2: Periodically adjust the key performance data and obtain the packet loss rate within the standard period, the average value of the wireless signal strength collected by each node within the standard period, and the average value of the network delay of each data packet transmission within the standard period; Step 3: Perform operation analysis on the key performance data of all terminal networks after adjustment, and obtain the operation status score of each terminal network: Step 4: according to multiple operation status values ​​of the terminal network within the target planning period, the status determination value of each terminal network is obtained by processing; Step 5: By comparing the state judgment value with the preset state judgment threshold, and determining whether the corresponding terminal network needs to be scheduled based on the judgment result, and determining the performance optimization index, and inputting the optimization index into the pre-trained optimization model, the corresponding network optimization solution is obtained.

2. A wireless network planning method based on terminal network data according to claim 1, characterized in that: Packet loss rate refers to the rate at which packets fail to reach their destination due to various reasons during network transmission. Wireless signal strength refers to the power level of the wireless signal received by the wireless terminal; Network latency refers to the time it takes for data to travel from the sender to the receiver.

3. The wireless network planning method based on terminal network data according to claim 1, characterized in that: Periodic adjustments are handled as follows: Determine the packet loss rate based on a preset standard period; In the same preset standard time period, the wireless signal strength collected by each node is obtained, and the average is calculated, and the value is recorded as the standard signal strength; During a preset standard period, the network delay of each data packet transmission is obtained, and the average is calculated, and the value is recorded as the standard delay.

4. The wireless network planning method based on terminal network data according to claim 3 is characterized in that: The operation analysis process is as follows: De-dimension the standard signal strength, standard delay, and packet loss rate and obtain their numerical values; Then substitute it into the preset running status scoring formula to obtain the running status value.

5. A wireless network planning method based on terminal network data according to claim 4, characterized in that: The running status scoring formula is as follows: Wherein, P represents the operating state value, WQ represents the parameter value of the standard signal strength, YC represents the parameter value of the standard delay, DS represents the parameter value of the packet loss rate, λ1, λ2, and λ3 represent the preset standard signal strength proportion coefficient, standard delay proportion coefficient, and packet loss rate proportion coefficient, respectively, β represents the compensation factor, and 0<β<1.

6. A wireless network planning method based on terminal network data according to claim 1, characterized in that: The specific steps of step 4 are as follows: Step 1. Divide the target planning period into m planning periods of equal length according to the duration corresponding to the standard period, and mark each planning period in the target planning period as Gi, where i = 1, 2, ... m, and m represents the number of all planning periods in the target planning period; Step 2: Select a terminal network as the analysis object, obtain the operation status value of each planning period Gi in the target planning cycle, and mark it as ZTi; Step 3, then substitute ZTi into the preset variance formula Calculate the deviation value P1 of the operating state value ZTi within all planning periods Gi; Among them, ZTp is the average value of the corresponding operating state value participating in the calculation of the corresponding deviation value, and then P1 is compared with the preset deviation threshold Py: If P1≥Py, it means that the deviation values ​​of all running status values ​​are large. Then, the corresponding ZTi values ​​are deleted in descending order according to |ZTi-ZTp| and the remaining deviation values ​​P1 are calculated accordingly until P1<Py; Step 4. Then extract the ZTi that has not been deleted, calculate the average value of the ZTi that has not been deleted, and then mark the average value as the state judgment value.

7. A wireless network planning method based on terminal network data according to claim 1, characterized in that: In step five, If the status determination value is greater than or equal to the preset status determination threshold, there is no need to optimize and adjust the terminal network; If the state determination value is less than the preset state determination threshold, the optimization index of the terminal network is analyzed; Among them, the network optimization plan is the optimization rules pre-set by network engineers and then imported into the optimization model.

8. A wireless network planning method based on terminal network data according to claim 7, characterized in that: The optimization index is derived as follows: Obtain standard performance data of the terminal network, including wireless signal strength threshold, network delay threshold, and packet loss rate threshold; Then the difference between the standard signal strength and the wireless signal strength threshold is calculated. If the difference is negative, its absolute value is taken as the strength optimization index, and vice versa. At the same time, the difference between the packet loss rate and the packet loss rate threshold is calculated. If the difference is positive, it is used as the loss optimization indicator, otherwise it is used as the opposite; And calculate the difference between the standard delay and the network delay threshold. If the difference is positive, it is used as a delay optimization indicator, otherwise it is used as the opposite; Among them, the standard performance data is the minuend in the difference calculation formula.

9. The wireless network planning method based on terminal network data according to claim 1, characterized in that: Also includes: Step 6: Optimization and Verification Adjust the terminal network according to the optimization plan, and obtain the key performance data of each terminal network after adjustment, and then evaluate the status of the terminal network again according to steps 2 to 5.

10. A wireless network planning device based on terminal network data, the device being implemented by a wireless network planning method based on terminal network data as claimed in any one of claims 1 to 9, characterized in that: The device includes: A data acquisition unit, used to acquire all terminal networks within a target range and collect key performance data of each terminal network; A data adjustment unit, used to periodically adjust key performance data and obtain the packet loss rate within the standard period, the average value of the wireless signal strength collected by each node within the standard period, and the average value of the network delay of each data packet transmission within the standard period; The data analysis unit performs operation analysis on the key performance data of all terminal networks and obtains the operation status score of each terminal network; A data processing unit, used to process and obtain a state determination value of each terminal network according to multiple operation state values ​​of the terminal network within a target planning period; A planning and analysis unit, used to compare the state determination value with a preset state determination threshold, and determine whether the corresponding terminal network needs to be scheduled according to the determination result, and determine the performance optimization index according to the basic information of the adjacent terminal network; The optimization verification unit is used to obtain the key performance data of the terminal network after adjustment according to the optimization plan, and then the status of the terminal network is evaluated again through the data adjustment unit, data analysis unit, data processing unit, and planning analysis unit.

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