Dynamic networking planning method and device, electronic equipment and storage medium

Abstract

The application provides a dynamic networking planning method and device, electronic equipment and storage medium, and relates to the technical field of mobile communication. The method comprises the following steps: determining a communication service index planning value based on the service demand of a region to be planned, wherein the communication service index planning value comprises a network speed planning value; identifying a region in the region to be planned, in which the communication quality does not meet the requirement of the communication service index planning value, as a coverage demand region, and dividing the coverage demand region into a plurality of grid partitions; determining the layout position of a low-altitude base station in the grid partition based on the radio frequency parameter of the low-altitude base station to be laid and the network speed planning value; determining a coverage compliance rate based on the effective coverage area of the low-altitude base station at its layout position and the total area of the grid partition to which the low-altitude base station belongs; and dynamically optimizing and adjusting the networking layout of the low-altitude base station based on the coverage compliance rate. The application realizes the accurate planning and adaptive optimization of the dynamic networking of the low-altitude base station.

Description

Technical Field

[0001] This invention relates to the field of mobile communication technology, specifically to a dynamic network planning method, apparatus, electronic device, and storage medium. Background Technology

[0002] With the rapid development of mobile communication technology, using low-altitude base stations to achieve integrated air-space-ground wireless communication coverage has become an important means of filling gaps in terrestrial cellular communication networks and improving the quality of communication services.

[0003] In related technologies, mobile communication network planning often adopts static modeling and static analysis methods, which makes it difficult to dynamically optimize and adjust the network deployment parameters and communication configuration parameters of low-altitude base stations. It also has weak adaptability to special terrains and irregular areas, and cannot meet the planning requirements of dynamic coverage scenarios. Summary of the Invention

[0004] The present invention aims to provide a dynamic network planning method, device, electronic device and storage medium to at least solve the problems of existing technologies, such as difficulty in dynamically optimizing and adjusting the network deployment parameters and communication configuration parameters of low-altitude base stations, weak adaptability to special terrain and irregular areas, and inability to meet the planning requirements of dynamic coverage scenarios.

[0005] The technical solution of the present invention to solve the above-mentioned technical problems is as follows: This invention provides a dynamic network planning method, comprising: The planned values ​​for communication service indicators are determined based on the business needs of the area to be planned, including the planned values ​​for network speed. Areas in the planned area where the communication quality does not meet the planned value of the communication service index are identified as coverage demand areas, and the coverage demand areas are divided into multiple grid partitions; The deployment location of the low-altitude base station in the grid partition is determined based on the radio frequency parameters of the low-altitude base station to be deployed and the network speed planning value. The coverage compliance rate is determined based on the effective coverage area of ​​the low-altitude base station at its deployment location and the total area of ​​its grid partition. The network deployment of the low-altitude base stations is dynamically optimized and adjusted based on the coverage compliance rate.

[0006] The technical solution provided by this invention brings at least the following beneficial effects: In the dynamic network planning method provided by this invention, the planned values ​​of communication service indicators are determined based on business needs, and areas in the planning area where the communication quality does not meet the planned values ​​of communication service indicators are identified as coverage demand areas. This can improve the adaptability of network planning to actual business scenarios and the user's communication experience. The coverage demand area is divided into multiple grid partitions, and the deployment location of the low-altitude base stations in the grid partitions is determined based on the radio frequency parameters and network speed planned values ​​of the low-altitude base stations to be deployed. This improves the matching degree between the deployment location and the business network speed requirements and radio frequency coverage characteristics. Compared with the network deployment method based on experience-based fixed points, the obtained deployment location is more reasonable. The network deployment of low-altitude base stations is dynamically optimized and adjusted based on the coverage compliance rate, which improves the dynamic adaptability of low-altitude base station network deployment in complex areas and effectively ensures the communication service quality of the planning area.

[0007] Based on the above technical solution, the present invention can be further improved as follows.

[0008] Furthermore, dividing the coverage requirement area into multiple grid partitions includes: dividing the coverage requirement area into multiple independent planning sub-units based on geographical features; mapping each independent planning sub-unit into a geometric polygon of a two-dimensional plane through two-dimensional plane abstract modeling; if the geometric polygon has a concave polygon structure, decomposing it into multiple convex polygon regions through convex decomposition, and dividing each convex polygon region into multiple grid partitions; otherwise, directly dividing the geometric polygon into multiple grid partitions.

[0009] The beneficial effects of this scheme are as follows: Based on geographical features, the coverage area is divided into multiple independent planning sub-units, and each sub-unit is divided into independent network planning zones. This allows the grid partitioning to fully conform to the actual geographical features and regional outlines, improving the adaptability of the network planning in complex terrain. By performing convex decomposition on concave polygons, the irregular areas are regularly divided, laying a regular and reliable planning foundation for the subsequent deployment of low-altitude base stations and network optimization.

[0010] Furthermore, determining the deployment location of the low-altitude base station in the grid partition based on the radio frequency parameters of the low-altitude base station to be deployed and the network speed planning value includes: determining the spatial coverage slant range of the low-altitude base station based on the radio frequency parameters of the low-altitude base station and the network speed planning value, wherein the low-altitude base station uses a circular or approximately circular beam for coverage; determining the deployment height of the low-altitude base station based on the cosine value of the beam half-power angle of the low-altitude base station and the spatial coverage slant range; and determining the location directly above the center point of the grid partition and at a distance equal to the deployment height as the deployment location of the low-altitude base station in the grid partition.

[0011] The beneficial effects of this scheme are as follows: the spatial coverage slant range is solved based on the radio frequency parameters and network speed planning values ​​of the low-altitude base station, and the deployment height of the low-altitude base station is calculated by combining the beam half-power angle, thus realizing the quantitative solution and accurate positioning of the deployment location of the low-altitude base station.

[0012] Furthermore, determining the spatial coverage slant range of the low-altitude base station based on its radio frequency parameters and network speed planning value includes: determining the communication link load intensity based on the network speed planning value, the number of channels and communication bandwidth of the low-altitude base station, and determining the link carrying capacity value based on the bandwidth rate adaptation coefficient and the communication link load intensity; determining the frequency propagation loss correction value based on the operating frequency and frequency path attenuation coefficient of the low-altitude base station; and determining the spatial coverage slant range based on the link carrying capacity value, the frequency propagation loss correction value, and the engineering comprehensive correction coefficient.

[0013] The beneficial effects of adopting this scheme are as follows: by comprehensively considering link load, frequency propagation loss, and multiple factors in actual scenarios to determine the spatial coverage slant range, the calculated spatial coverage slant range can better meet the network speed requirements of services and actual application scenarios, and provide reliable parameter basis for determining the deployment height of low-altitude base stations and the ground coverage radius.

[0014] Furthermore, determining the coverage compliance rate based on the effective coverage area of ​​the low-altitude base station at its deployment location and the total area of ​​its grid partition includes: determining the ground coverage radius of the low-altitude base station based on the sine value of the beam half-power angle of the low-altitude base station and the spatial coverage slant distance; determining the effective coverage area based on the ground coverage radius, and determining the proportion of the effective coverage area in the total area of ​​its grid partition as the coverage compliance rate.

[0015] The beneficial effects of adopting this scheme are as follows: the coverage evaluation index is constructed by using the area ratio of the effective coverage area of ​​low-altitude base stations in their respective grid partitions, which can objectively characterize the actual coverage matching degree of a single grid partition and provide an objective and quantifiable evaluation basis for the dynamic optimization of subsequent network deployment.

[0016] Furthermore, the dynamic optimization and adjustment of the network deployment of the low-altitude base stations based on the coverage compliance rate includes: if the coverage compliance rate is less than a first preset threshold, removing the low-altitude base stations in the grid partition; if the coverage compliance rate is greater than a second preset threshold, keeping the deployment position of the low-altitude base stations in the grid partition unchanged; if the coverage compliance rate is between the first preset threshold and the second preset threshold, merging the grid partition with its adjacent grid partitions to form a merged planning area; matching a standard geometric coverage model adapted to the merged planning area in a preset coverage model library, and correcting the deployment position of the low-altitude base stations based on the standard geometric coverage model.

[0017] The beneficial effects of this scheme are as follows: by removing base stations in low-compliance-rate zones, retaining base station locations in high-compliance-rate zones, and performing grid merging in intermediate-compliance-rate zones, the scheme matches standard geometric coverage models suitable for the merged areas in the preset coverage model library, and adjusts the base station deployment locations according to the matched coverage models. This allows for flexible and dynamic adjustment of network planning for grid zones with under-coverage, moderate coverage, and excellent coverage, reducing base station redundancy while ensuring communication coverage quality.

[0018] Furthermore, the method also includes: determining the communication quality compliance rate based on the actual value of the communication service index at the edge of the grid partition and the corresponding planned value of the communication service index; and dynamically optimizing and adjusting the network deployment parameters and communication configuration parameters of the low-altitude base station based on the communication quality compliance rate.

[0019] The beneficial effects of adopting this scheme are as follows: by constructing the communication quality compliance rate, the grid coverage can be quantified, and over-coverage and weak coverage can be identified; based on the communication quality compliance rate, the network deployment parameters and communication configuration parameters of low-altitude base stations can be adjusted, enabling iterative correction of the network planning scheme, further improving the rationality and adaptability of the deployment of low-altitude base stations, and ensuring communication quality and stability.

[0020] Correspondingly, the present invention also provides a dynamic network planning device, comprising: The business demand determination module is used to determine the planned values ​​of communication service indicators based on the business demand of the area to be planned, wherein the planned values ​​of communication service indicators include network speed planned values. The coverage demand identification module is used to identify areas in the area to be planned where the communication quality does not meet the planning value of the communication service index as coverage demand areas, and to divide the coverage demand areas into multiple grid partitions; The deployment location determination module is used to determine the deployment location of the low-altitude base station in the grid partition based on the radio frequency parameters of the low-altitude base station to be deployed and the network speed planning value. The coverage compliance determination module is used to determine the coverage compliance rate based on the effective coverage area of ​​the low-altitude base station at its deployment location and the total area of ​​its grid partition. The dynamic optimization and adjustment module is used to dynamically optimize and adjust the network deployment of the low-altitude base stations based on the coverage compliance rate.

[0021] The present invention also provides an electronic device, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute the instructions to implement the above-described dynamic networking planning method.

[0022] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the above-described dynamic networking planning method. Attached Figure Description

[0023] Figure 1 A flowchart illustrating a dynamic network planning method provided by the present invention; Figure 2 A schematic block diagram of a dynamic networking planning device provided by the present invention; Figure 3 This is a schematic diagram of an electronic device provided by the present invention. Detailed Implementation

[0024] The principles and features of the present invention are described below. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0025] In related technologies, mobile communication network planning often adopts static modeling and static analysis methods, which makes it difficult to dynamically optimize and adjust the network deployment parameters and communication configuration parameters of low-altitude base stations. It also has weak adaptability to special terrains and irregular areas, and cannot meet the planning requirements of dynamic coverage scenarios.

[0026] To address the aforementioned problems, this invention proposes a dynamic network planning method, apparatus, electronic device, and computer-readable storage medium. The technical solutions of the embodiments of this disclosure are described in detail below: In one embodiment of the present invention, a dynamic network planning method is provided. (See reference...) Figure 1 As shown, this dynamic network planning method specifically includes the following steps: S110: Determine the planned values ​​of communication service indicators based on the business needs of the area to be planned. The planned values ​​of communication service indicators include the planned values ​​of network speed. S120: Identify areas in the planned area where the communication quality does not meet the planned value of the communication service index as coverage demand areas, and divide the coverage demand areas into multiple grid partitions; S130: Determine the deployment location of the low-altitude base station in the grid partition based on the radio frequency parameters and network speed planning value of the low-altitude base station to be deployed. S140: Determine the coverage compliance rate based on the effective coverage area of ​​the low-altitude base station at its deployment location and the total area of ​​its grid partition; S150: Dynamically optimize and adjust the network deployment of low-altitude base stations based on coverage compliance rate.

[0027] In the dynamic network planning method provided in the above embodiments, the planning value of communication service indicators is determined based on business needs, and areas in the planning area where the communication quality does not meet the planning value of communication service indicators are identified as coverage demand areas. This can improve the adaptability of network planning to actual business scenarios and the user's communication experience. The coverage demand area is divided into multiple grid partitions, and the deployment location of the low-altitude base station in the grid partition is determined based on the radio frequency parameters and network speed planning value of the low-altitude base station to be deployed. This improves the matching degree between the deployment location and the business network speed requirements and radio frequency coverage characteristics. Compared with the network deployment method based on experience-based fixed points, the obtained deployment location is more reasonable. The network deployment of low-altitude base stations is dynamically optimized and adjusted based on the coverage compliance rate, which improves the dynamic adaptability of low-altitude base station network deployment in complex areas and effectively ensures the communication service quality of the planning area.

[0028] The above steps will now be described in more detail in another embodiment.

[0029] In S110, the planned values ​​of communication service indicators are determined based on the business needs of the area to be planned. The planned values ​​of communication service indicators include the planned values ​​of network speed.

[0030] The aforementioned planned areas are the target spatial ranges that require wireless network coverage planning and optimization, covering typical application scenarios such as low-altitude communication network spatial areas and three-dimensional spatial areas requiring low-altitude base station coverage under integrated air-space-ground networking.

[0031] The above-mentioned business requirements are the actual needs of users or terminals in the area to be planned for wireless network communication capabilities, which are determined by factors such as application scenarios, user types, and service levels.

[0032] In one specific implementation of this embodiment, the above-mentioned service requirements can be divided into the following four levels based on the daily coverage terminal network requirements: Level 1: Basic IoT Coverage Level (speed 1~10Mbps, no latency requirement). This level is designed for low-speed, low-power, and widely connected IoT terminals. It aims to achieve basic network connectivity, has no latency constraints, and is suitable for scenarios such as environmental monitoring sensors and low-speed IoT terminal clusters.

[0033] Level 2: Regular User Level (speed 2~300Mbps, latency 50~500ms). This level is for the general communication needs of ordinary individual users and everyday mobile terminals. It needs to meet the mainstream services such as daily Internet access, voice calls, high-definition video, social applications, and general office work. It is the most common and highest-proportion demand level in low-altitude communication scenarios.

[0034] Level 3: Professional User Level (speed 50~500Mbps, latency 15~100ms). This level is for professional terminals used in industry operations, low-altitude routine operations, and high-definition services. It has high requirements for speed and real-time performance and is suitable for scenarios such as drone inspection, high-definition video transmission, remote on-site command, industrial-grade mobile terminals, and low-altitude logistics operation terminals.

[0035] Level 4: Private Network User Level (speed 100~1000Mbps, latency 5~50ms). This level is designed for dedicated communication scenarios with high security, high reliability, ultra-low latency, and ultra-high bandwidth, providing ultimate communication protection for critical tasks and adapting to scenarios such as emergency command private networks, low-altitude emergency rescue, private network communication terminals, and real-time control services.

[0036] The aforementioned communication service indicator planning values ​​are pre-set wireless network performance target values ​​that meet business needs, and these communication service indicator planning values ​​include at least the network speed planning value.

[0037] In one specific implementation of this embodiment, the above-mentioned determination of communication service indicator planning values ​​based on the service requirements of the area to be planned can achieve the following: clarifying the application requirements of various wireless services in the area to be planned; classifying them into different demand levels according to service type and communication quality requirements, and matching the corresponding communication service indicator planning values ​​to the corresponding wireless services based on the demand level.

[0038] Preferably, this embodiment can also formulate differentiated solutions according to the personalized needs of different users. For example, for specific needs such as high uplink speed, high reliability, low latency, and large connectivity, these can be broken down into appropriate communication service indicator planning values.

[0039] In addition, for extreme emergency scenarios involving three disruptions (water, power, and internet outages) or other emergency support scenarios, where on-site measurement conditions are not available and backend data cannot be synchronized in a timely manner, this embodiment can retrieve historical traffic data of the area to be planned, combine it with communication data from similar emergency scenarios for analysis and deduction, and then obtain planning values ​​for communication service indicators that are adapted to the actual on-site working conditions.

[0040] In S120, areas in the planned area where the communication quality does not meet the planned value of the communication service index are identified as coverage demand areas, and the coverage demand areas are divided into multiple grid partitions.

[0041] The aforementioned coverage requirement areas are those areas to be planned where the current actual wireless communication quality cannot meet the preset communication service indicator planning values, and where communication sites need to be added and network optimization adjustments are required.

[0042] In one specific implementation of this embodiment, the process of identifying the coverage requirement area can be implemented as follows, including the following steps: S1: Construct an empirical formula for calculating the coverage distance of a signal source: Where D is the coverage distance from the source to the terminal in the wireless communication network, in meters; Tx is the network speed in Mbps; F is the number of channels between the source and the terminal; Band is the operating frequency of the wireless network carrier in MHz; and Band is the system bandwidth. The bandwidth rate adaptation coefficient is used to characterize the degree of matching between wireless bandwidth resources, transmission channels and network rates. Its value is related to the transmission and reception mode, scene mode and encoding and decoding method. The frequency path attenuation coefficient is used to characterize the change in spatial propagation loss caused by changes in the operating frequency of the wireless network. Its value is related to the operating frequency of the wireless network carrier, the power of the signal source, and the spatial propagation environment (such as weather). This is a comprehensive engineering correction factor used to correct the error between theoretical calculation results and actual on-site network conditions. Its value is related to equipment capabilities, application scenarios, configuration parameters, etc. Taking a conventional macro base station network as an example, in a typical high-speed, high-bandwidth scenario... , , The values ​​are 87.67, 11.46, and 16.57 respectively. The values ​​of the calibration parameters for low-altitude lightweight base stations, micro base stations, and portable emergency signal sources need to be refitted and adjusted based on the actual test scenarios.

[0043] The above empirical formula can be used to evaluate the relationship between coverage distance and network speed, transmit / receive mode, operating bandwidth, and operating frequency. Specifically, the above... The link carrying capacity value is determined based on the relationship between network speed, number of channels, operating bandwidth, and coverage distance. More channels mean more occupied spectrum bandwidth, more readily available wireless resources, and greater coverage distance at the same network speed. Higher network speed requirements for services place higher demands on wireless signal quality and signal-to-noise ratio, making it impossible to maintain high-speed transmission conditions for extended periods, thus shortening the coverage distance accordingly. The higher the value, the more efficient the current communication standard and coding scheme are in utilizing spectrum and channel resources, and the more stable signal transmission over longer distances can be supported with the same transmission resources; the above This is a frequency propagation loss correction value, used to account for the signal propagation loss caused by different operating frequencies through the frequency path attenuation coefficient; the above-mentioned comprehensive engineering correction coefficient. It is used to correct various actual deviations caused by equipment performance, layout, terrain environment and meteorological conditions.

[0044] The above formula uses three factors—the link carrying capacity value, the frequency propagation loss correction value, and the engineering comprehensive correction coefficient—to jointly determine the coverage distance from the source to the terminal in a wireless communication network, thereby improving the accuracy and rationality of the calculated coverage distance.

[0045] S2: Substitute the network planning values ​​required by the business needs of the area to be planned and the relevant parameters of the existing base stations into the above empirical formula to calculate the effective coverage range of the existing base stations that meet the network planning value requirements, which serves as the coverage boundary for compliant base station services.

[0046] S3: Overlay and integrate the effective coverage areas of each base station within the planned area, dividing it into three categories: no coverage area, weak coverage area, and mixed coverage area. Among them: Among them, the above-mentioned coverage-free areas are areas in the planned area that cannot be covered by existing base stations and have no network signal at all. In this embodiment, such areas are directly identified as signal gaps, and signal coverage needs to be achieved by building new sites and extending the network.

[0047] The aforementioned weak coverage areas are those areas in the planned region where there is network signal, but the existing site locations cannot meet the requirements for service use. In the future, it will be necessary to improve the quality of network service by adjusting equipment parameters, increasing power, and optimizing antenna angles.

[0048] The aforementioned mixed coverage area refers to the area where the signal is available in some sections of the planned area, while the signal is unstable in others. In the future, based on the existing site layout, it can be calculated which sections need fine-tuning and optimization, and which sections need minor supplementation.

[0049] S4: Identify the areas where additional base stations need to be added, as determined by the above process, as coverage demand areas.

[0050] It should be noted that the method for identifying coverage demand areas described above is merely an illustrative example, and the scope of protection of this embodiment is not limited thereto. For example, this embodiment can also assess the compliant coverage areas of existing base station resources using MR measurement report data from a mobile communication network operation and maintenance optimization platform, and identify the aforementioned coverage demand areas accordingly. Preferably, this embodiment can further improve the accuracy of the identified coverage demand areas by combining the theoretical coverage range with MR measurement report data after determining the compliant coverage areas using the aforementioned empirical formula.

[0051] Furthermore, in the event of a three-disruption emergency scenario where the wireless network experiences coverage gaps or vulnerabilities, and in the absence of on-site testing conditions and timely synchronization of backend data, this embodiment can estimate the wireless network coverage requirement area by combining the typical scenario spatial attenuation formula of the wireless network protocol with the aforementioned empirical formula.

[0052] For example, when evaluating the coverage requirement area of ​​a wireless network using the above methods, this embodiment can implement the evaluation process in either a static or dynamic manner. Static evaluation performs a one-time full-area evaluation based on MR measurement report data from the mobile communication network operation and maintenance optimization platform, defining the coverage requirement area in one go. Dynamic evaluation, on the other hand, sets a fixed evaluation cycle or initiates dynamic evaluation when triggered by events such as network failures or equipment maintenance, re-evaluating and updating the wireless network planning range and coverage requirement area based on the spatial loss formula and the aforementioned empirical formula.

[0053] After identifying the coverage demand areas within the planned area through the above process, this embodiment evaluates the coverage planning based on three main conditions: frequency band characteristics, equipment performance, and terrain. Specifically: In terms of frequency band characteristics, the choice of frequency band directly affects the coverage perception of wireless networks. The higher the frequency band, the greater the network transmission bandwidth, but the worse the ability to penetrate walls and bypass obstacles, and the faster the signal is lost in the air. In the dynamic planning and design of wireless networks, it is necessary to select frequency bands reasonably, fill in blind spots in key areas, and give priority to using the same frequency band for networking to ensure network stability.

[0054] In terms of equipment performance, the equipment capability level is mainly classified according to the transmission power, beam coverage pattern and effective coverage range. The signal source equipment can be divided into three categories: macro base stations, small base stations and micro base stations. The performance of equipment of the same type in the same frequency band tends to be consistent. In this embodiment, the three types of equipment can be designed with differentiated layout according to the equipment performance.

[0055] At the level of topography, different terrains such as valleys and rivers are distinguished. Similar terrain environments (such as valleys and river valleys, which are relatively closed areas with a uniform terrain direction) have similar signal propagation patterns and can be divided into independent coverage areas for targeted network planning and design.

[0056] Therefore, in the process of dividing the coverage requirement area into multiple grid partitions, this embodiment can take the terrain into account. For example, the division process can be implemented as follows: the coverage requirement area is divided into multiple independent planning sub-units based on geographical features (such as river valleys, valleys, and hillsides); for each independent planning sub-unit, it is mapped to a geometric polygon of a two-dimensional plane through two-dimensional plane abstract modeling; if the geometric polygon has a concave polygon structure, it is decomposed into multiple convex polygon regions through convex decomposition, and each convex polygon region is divided into multiple grid partitions; otherwise, the geometric polygon is directly divided into multiple grid partitions.

[0057] Preferably, in this embodiment, when conducting network planning and coverage design, specific network planning attributes can be set for each independent planning sub-unit to meet its wireless network coverage requirements. For example, valleys, mountain terrain orientation, and altitude information can be used as important references for wireless network planning to assist in calculating key information such as latitude and longitude, altitude, and coverage angle of dynamic coverage base stations.

[0058] In S130, the deployment location of the low-altitude base station in the grid partition is determined based on the radio frequency parameters and network speed planning value of the low-altitude base station to be deployed.

[0059] The aforementioned low-altitude base station is a communication signal source device deployed in low-altitude airspace. Unlike ground macro / micro stations, it is flexible in its installation height and has advantages such as fast deployment, high mobility, and coverage adaptability to terrain. In this embodiment, the low-altitude base station is used to fill in the coverage gaps in the identified coverage demand areas.

[0060] The aforementioned radio frequency parameters are the core radio frequency configuration parameters for the communication of the aforementioned low-altitude base stations. They determine the signal transmission capability, propagation loss, and radiation direction, and include parameters such as transmission power, carrier operating frequency, system bandwidth, beam elevation angle, antenna gain, number of transmit and receive channels, and modulation and coding scheme.

[0061] For example, the above method of determining the deployment location of a low-altitude base station in a grid partition based on the radio frequency parameters and network speed planning value of the low-altitude base station to be deployed can be achieved as follows: the spatial coverage slant range of the low-altitude base station is determined based on the radio frequency parameters and network speed planning value of the low-altitude base station; the deployment height of the low-altitude base station is determined based on the cosine value of the beam half-power angle of the low-altitude base station and the spatial coverage slant range; and the location directly above the center point of the grid partition and at a distance equal to the deployment height is determined as the deployment location of the low-altitude base station in the grid partition.

[0062] Specifically, the determination of the spatial coverage slant range of a low-altitude base station based on its radio frequency parameters and network speed planning values ​​can be achieved as follows: Based on the network speed planning values, the number of channels and communication bandwidth of the low-altitude base station, the communication link load intensity is determined, and the link carrying capacity value is determined based on the bandwidth rate adaptation coefficient and the communication link load intensity; the frequency propagation loss correction value is determined based on the operating frequency and frequency path attenuation coefficient of the low-altitude base station; and the spatial coverage slant range is determined based on the link carrying capacity value, the frequency propagation loss correction value, and the engineering comprehensive correction coefficient.

[0063] The process of determining the deployment location of low-altitude base stations will be described in detail below in a specific implementation of this embodiment: In this specific implementation, the aforementioned grid partitions are square, and each grid is initially designed to be covered by one low-altitude base station. The low-altitude base station uses a circular or near-circular beam for coverage, thus ensuring that horizontal azimuth angle control is not required during low-altitude base station coverage; maintaining constant latitude, longitude, and altitude achieves effective and stable coverage. Specifically, low-altitude base stations can be deployed in the grid partitions using the following methods: S1: Based on the relevant radio frequency parameters of the low-altitude base station, calibrate the bandwidth rate adaptation coefficient, frequency path attenuation coefficient, and engineering comprehensive correction coefficient. Substitute the network planning value and the carrier operating frequency, system bandwidth, and number of transceiver channels of the low-altitude base station into the empirical formula constructed in step S120 to obtain the spatial coverage slant distance d, which is the straight-line distance between the low-altitude base station and the edge of its ground coverage area.

[0064] S2: Beam half-power angle based on low-altitude base station The cosine value and spatial coverage slant range are used to determine the deployment height of low-altitude base stations. ; S3: Deploy a low-altitude base station at a point h directly above the center point of the grid partition.

[0065] In S140, the coverage compliance rate is determined based on the effective coverage area of ​​the low-altitude base station at its deployment location and the total area of ​​its grid partition.

[0066] In this embodiment, when dividing the coverage area into grids using regular shapes (such as standard squares), the irregularities in the area boundaries and terrain corners result in numerous scattered edge zones. These irregular edge zones cannot be individually divided into regular grids. Therefore, depending on the actual scenario, these irregular areas need to be merged with adjacent grid partitions, and the merged area is treated as a new grid partition, or it can be treated as a separate grid partition. Based on this, unified coverage calculations and point planning are then performed for each resulting grid partition.

[0067] For example, the unified coverage calculation and site planning can be based on the aforementioned coverage compliance rate, which is the ratio of the effective coverage area that the deployed low-altitude base stations can achieve to the total area of ​​the grid partition within the corresponding grid partition. This ratio is used to quantify the degree of coverage perfection of the wireless network within the grid partition in meeting the preset planning indicators.

[0068] Specifically, the coverage compliance rate mentioned above can be determined using the following formula: Taking the scenario where the grid partitions are square and the low-altitude base stations use circular or near-circular beams for coverage as an example, the above-mentioned determination of the coverage compliance rate based on the effective coverage area of ​​the low-altitude base station at its deployment location and the total area of ​​its grid partition can be achieved as follows: Based on the sine value of the beam half-power angle of the low-altitude base station and the spatial coverage slant distance, determine the ground coverage radius of the low-altitude base station; determine the effective coverage area based on the ground coverage radius, and determine the proportion of the effective coverage area in the total area of ​​its grid partition as the coverage compliance rate.

[0069] Specifically, the effective coverage area mentioned above can be determined by the following formula: r Where r is the radius of the ground coverage area of ​​the low-altitude base station; The beam half-power angle for low-altitude base stations; The slant range for spatial coverage of low-altitude base stations.

[0070] Furthermore, the aforementioned S 所属网格分区总面积 The method for determining S is as follows: If the grid partition to which it belongs is a complete standard square grid, then S 所属网格分区总面积 =l 2 If the grid partition to which it belongs is an irregular edge area or a region merged with an adjacent square grid, then S 所属网格分区总面积 Take its actual geometric area (e.g., rectangle, rhombus, or polygon, which can be calculated using the corresponding geometric area formula).

[0071] In S150, the network deployment of low-altitude base stations is dynamically optimized and adjusted based on the coverage compliance rate.

[0072] For example, the above-mentioned dynamic optimization and adjustment of the network deployment of low-altitude base stations based on the coverage compliance rate includes: if the coverage compliance rate is less than a first preset threshold, removing the low-altitude base stations in the grid partition; if the coverage compliance rate is greater than a second preset threshold, keeping the deployment position of the low-altitude base stations in the grid partition unchanged; if the coverage compliance rate is between the first preset threshold and the second preset threshold, merging the grid partition with its adjacent grid partition to form a merged planning area; matching a standard geometric coverage model that is compatible with the merged planning area in the preset coverage model library, and correcting the deployment position of the low-altitude base stations based on the standard geometric coverage model.

[0073] The following is a detailed explanation of a specific implementation of this embodiment, illustrating the dynamic optimization and adjustment of the network deployment of low-altitude base stations based on coverage compliance rate: If the above coverage compliance rate meets the following: 6 The low-altitude base stations in this grid partition will continue to cover the corresponding edge areas, and will be continuously tracked and corrected during subsequent dynamic adjustments.

[0074] If the above coverage compliance rate meets the following: 3 Search for and merge adjacent grid partitions; for the merged area, compare it with the standard geometric coverage model in the preset coverage model library of low-altitude base stations. The standard geometric coverage model in the preset coverage model library is usually designed and filled according to the coverage characteristics and index design parameters of the low-altitude base station. For example, it may include shapes such as rectangles, ellipses, and circles; with the coverage center and coverage boundary of the matched standard geometric model as a reference, fine-tune the planar layout coordinates, erection height, and antenna azimuth angle of the low-altitude base station so that the actual coverage outline of the low-altitude base station conforms to the distribution pattern of the standard geometric model.

[0075] Preferably, this embodiment can also iteratively optimize the network planning of low-altitude base stations using the following method: for the low-altitude base station network strategy dynamically adjusted by the above method, review its coverage compliance rate; if the coverage compliance rate after the above dynamic adjustment meets the preset requirements, then stop the optimization; otherwise, it is necessary to continue to dynamically optimize and adjust the low-altitude base stations by rematching the standard geometric model or reselecting the merged grid partition.

[0076] Specifically, in the above implementation method, the preset requirement is as follows: 6 In order to meet the above requirements (here) When determining the coverage compliance rate of multiple merged grid partitions, the coverage model and corresponding coverage parameters of the wireless network are determined, including beam shape parameters, altitude, latitude and longitude parameters, etc. The geometric center point of the coverage model is used as the projection point of the low-altitude base station on the ground. The horizontal azimuth angle of the low-altitude base station is planned according to the best matching area of ​​the coverage model, and the overlapping coverage area is minimized.

[0077] For grid partitions that meet the following conditions: 3 The planning for this grid zone is abandoned (i.e., the low-altitude base stations in this grid zone are removed), and it is merged into a neighboring grid for coverage.

[0078] In another embodiment of this application, after completing the dynamic network planning through the above process, the coverage capability and interference perception of the wireless network can be continuously tracked and evaluated, the coverage of the wireless network can be evaluated in real time, and the network planning can be dynamically adjusted according to the communication quality compliance rate, coverage compliance rate and MR interference data of the wireless network.

[0079] The aforementioned communication quality compliance rate is the ratio of the actual value of the corresponding communication service indicator in the edge area of ​​the grid partition to the pre-set planned value of the communication service indicator, which is used to measure the redundancy of the network design.

[0080] For example, the process of optimizing network planning based on communication quality compliance rate can be achieved as follows: determine the communication quality compliance rate based on the actual value of communication service index at the edge of the grid partition and the corresponding planned value of communication service index; and dynamically optimize and adjust the network deployment parameters and communication configuration parameters of low-altitude base stations based on the communication quality compliance rate.

[0081] In one specific implementation of this embodiment, taking network speed as a communication service indicator as an example, the above process can be achieved as follows: The communication quality compliance rate is calculated using the following formula. : The grid edge rate in the above formula is the network rate at the outermost edge of the low-altitude base station coverage area; the grid planning rate is the aforementioned network speed planning value. This embodiment will... The value range is set to 0.5~2 (which can be adjusted based on the actual scenario). The larger the value, the more compact and conservative the network planning scheme design is, the more obvious the design redundancy is, and the more serious the over-coverage problem is. The smaller the value, the more loose the network planning scheme design is, and the more obvious the weak coverage is. Under normal circumstances, it is more reasonable to keep the communication quality compliance rate between 0.75 and 1.2.

[0082] It should be noted that the above scenario is only an example. Other indicators of wireless networks (such as wireless network bit error rate, block error rate, channel rank, signal-to-interference-plus-noise ratio (SINR), modulation and demodulation order, etc.) can also be used as control parameters for dynamic optimization and adjustment. This embodiment does not limit this.

[0083] Correspondingly, the present invention also provides a dynamic network planning device, with reference to Figure 2 As shown, the dynamic network planning device 200 may include a service demand determination module 210, a coverage demand identification module 220, a deployment location determination module 230, a coverage achievement determination module 240, and a dynamic optimization and adjustment module 250. Wherein: The business demand determination module 210 is used to determine the planned values ​​of communication service indicators based on the business demand of the area to be planned. The planned values ​​of communication service indicators include network speed planning values. The coverage demand identification module 220 is used to identify areas in the area to be planned where the communication quality does not meet the planning value of the communication service index as coverage demand areas, and to divide the coverage demand areas into multiple grid partitions. The deployment location determination module 230 is used to determine the deployment location of the low-altitude base station in the grid partition based on the radio frequency parameters and network speed planning value of the low-altitude base station to be deployed. The coverage compliance determination module 240 is used to determine the coverage compliance rate based on the effective coverage area of ​​the low-altitude base station at its deployment location and the total area of ​​its grid partition. The dynamic optimization and adjustment module 250 is used to dynamically optimize and adjust the network deployment of low-altitude base stations based on the coverage compliance rate.

[0084] In one implementation of this embodiment, the coverage requirement identification module is specifically used to: divide the coverage requirement area into multiple independent planning sub-units based on geographical features; for each independent planning sub-unit, map it into a geometric polygon of a two-dimensional plane through two-dimensional plane abstract modeling; if the geometric polygon has a concave polygon structure, decompose it into multiple convex polygon regions through convex decomposition, and divide each convex polygon region into multiple grid partitions; otherwise, directly divide the geometric polygon into multiple grid partitions.

[0085] In one implementation of this embodiment, the deployment location determination module is specifically used to: determine the spatial coverage slant range of the low-altitude base station based on the radio frequency parameters and network speed planning value of the low-altitude base station, wherein the low-altitude base station uses a circular or approximately circular beam for radiation coverage; determine the deployment height of the low-altitude base station based on the cosine value of the beam half-power angle and the spatial coverage slant range of the low-altitude base station; and determine the location directly above the center point of the grid partition and at a distance equal to the deployment height as the deployment location of the low-altitude base station in the grid partition.

[0086] In one implementation of this embodiment, the above-mentioned deployment location determination module is further specifically used for: determining the communication link load intensity based on the network speed planning value and the number of channels and communication bandwidth of the low-altitude base station; determining the link carrying capacity value based on the bandwidth rate adaptation coefficient and the communication link load intensity; determining the frequency propagation loss correction value based on the operating frequency and frequency path attenuation coefficient of the low-altitude base station; and determining the spatial coverage slant distance based on the link carrying capacity value, the frequency propagation loss correction value, and the engineering comprehensive correction coefficient.

[0087] In one implementation of this embodiment, the coverage compliance determination module is specifically used to: determine the ground coverage radius of the low-altitude base station based on the sine value of the beam half-power angle and the spatial coverage slant distance; determine the effective coverage area based on the ground coverage radius, and determine the proportion of the effective coverage area in the total area of ​​its grid partition as the coverage compliance rate.

[0088] In one implementation of this embodiment, the dynamic optimization and adjustment module is specifically used for: if the coverage compliance rate is less than a first preset threshold, removing low-altitude base stations in the grid partition; if the coverage compliance rate is greater than a second preset threshold, keeping the deployment position of low-altitude base stations in the grid partition unchanged; if the coverage compliance rate is between the first preset threshold and the second preset threshold, merging the grid partition with its adjacent grid partitions to form a merged planning area; matching a standard geometric coverage model that is compatible with the merged planning area in the preset coverage model library, and correcting the deployment position of low-altitude base stations based on the standard geometric coverage model.

[0089] In one implementation of this embodiment, the dynamic optimization and adjustment module is further specifically used to: determine the communication quality compliance rate based on the actual value of the communication service indicator at the edge of the grid partition and the corresponding planned value of the communication service indicator; and dynamically optimize and adjust the network deployment parameters and communication configuration parameters of the low-altitude base station based on the communication quality compliance rate.

[0090] It should be noted that the specific implementation details of the above-mentioned dynamic networking planning device have been explained in detail in the corresponding section of the above-mentioned dynamic networking planning method, so they will not be repeated here.

[0091] It should be noted that although several modules or units for the device used to perform actions have been mentioned in the detailed description above, this division is not mandatory. In fact, according to embodiments of this disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0092] An electronic device according to the present invention includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements any of the above-mentioned dynamic networking planning methods. That is, an electronic device according to the present invention may include, but is not limited to: a processor and a memory; the memory is used to store the computer program; the processor is used to execute the dynamic networking planning method shown in any embodiment of the present invention by calling the computer program.

[0093] In one alternative embodiment, an electronic device is provided, such as Figure 3 As shown, Figure 3The illustrated electronic device 3000 includes a processor 3001 and a memory 3003. The processor 3001 and the memory 3003 are connected, for example, via a bus 3002. Optionally, the electronic device 3000 may further include a transceiver 3004, which can be used for data interaction between the electronic device and other electronic devices, such as sending and / or receiving data. It should be noted that in practical applications, the transceiver 3004 is not limited to one type, and the structure of the electronic device 3000 does not constitute a limitation on the present invention.

[0094] Processor 3001 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this invention. Processor 3001 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0095] Bus 3002 may include a path for transmitting information between the aforementioned components. Bus 3002 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 3002 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 3 The bus 3002 is represented by only one thick line, but this does not mean that there is only one bus or one type of bus.

[0096] The memory 3003 may be ROM (Read Only Memory) or other types of static storage devices capable of storing static information and instructions, RAM (Random Access Memory) or other types of dynamic storage devices capable of storing information and instructions, or EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0097] The memory 3003 stores application code (computer program) for executing the present invention, and its execution is controlled by the processor 3001. The processor 3001 executes the application code stored in the memory 3003 to implement the content shown in the foregoing method embodiments.

[0098] Among them, electronic devices can also be terminal devices, which can be any device that can install applications, including at least one of smartphones, tablets, laptops, desktop computers, smart speakers, smartwatches, smart TVs, and smart in-vehicle devices.

[0099] It should be noted that, Figure 3 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the invention.

[0100] The present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements any of the above-described dynamic networking planning methods.

[0101] Alternatively, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), magnetic tape, a floppy disk, and an optical data storage device, etc.

[0102] In an exemplary embodiment, a computer program product or computer program is also provided, which includes computer instructions stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the electronic device to perform the dynamic networking planning method described above.

[0103] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0104] It should be understood that the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of methods and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0105] The computer-readable storage medium provided by this invention can be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EEPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0106] The aforementioned computer-readable storage medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to perform the method shown in the above embodiments.

[0107] The above description is merely a preferred embodiment of the present invention and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of disclosure in this invention is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-disclosed concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this invention.

[0108] It should be noted that the terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and represent a limitation on a specific order or sequence. Where appropriate, the order of use for similar objects can be interchanged so that the embodiments of this application described herein can be implemented in an order other than that shown or described.

[0109] Those skilled in the art will recognize that this invention can be implemented as a system, method, or computer program product. Therefore, this invention can be specifically implemented in the following forms: it can be entirely hardware, entirely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software, generally referred to herein as a "circuit," "module," or "system." Furthermore, in some embodiments, this invention can also be implemented as a computer program product contained in one or more computer-readable media, which includes computer-readable program code.

[0110] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A dynamic network planning method, characterized in that, The method includes: The planned values ​​for communication service indicators are determined based on the business needs of the area to be planned, including the planned values ​​for network speed. Areas in the planned area where the communication quality does not meet the planned value of the communication service index are identified as coverage demand areas, and the coverage demand areas are divided into multiple grid partitions; The deployment location of the low-altitude base station in the grid partition is determined based on the radio frequency parameters of the low-altitude base station to be deployed and the network speed planning value. The coverage compliance rate is determined based on the effective coverage area of ​​the low-altitude base station at its deployment location and the total area of ​​its grid partition. The network deployment of the low-altitude base stations is dynamically optimized and adjusted based on the coverage compliance rate.

2. The dynamic network planning method according to claim 1, characterized in that, The process of dividing the coverage requirement area into multiple grid partitions includes: Based on geographical and geomorphological features, the coverage requirement area is divided into multiple independent planning sub-units; For each of the independent planning sub-units, they are mapped to geometric polygons in a two-dimensional plane through two-dimensional plane abstract modeling; If the geometric polygon has a concave polygon structure, it is decomposed into multiple convex polygon regions through convex decomposition, and each of the convex polygon regions is divided into multiple grid partitions; Otherwise, the geometric polygon is directly divided into multiple grid partitions.

3. The dynamic network planning method according to claim 1, characterized in that, The process of determining the deployment location of the low-altitude base station in the grid partition based on the radio frequency parameters of the low-altitude base station to be deployed and the network speed planning value includes: Based on the radio frequency parameters of the low-altitude base station and the network speed planning value, the spatial coverage slant range of the low-altitude base station is determined, and the low-altitude base station uses a circular or approximately circular beam for coverage. The deployment height of the low-altitude base station is determined based on the cosine value of the beam half-power angle of the low-altitude base station and the spatial coverage slant distance. The location directly above the center point of the grid partition and at a distance equal to the deployment height is determined as the deployment location of the low-altitude base station in the grid partition.

4. The dynamic network planning method according to claim 3, characterized in that, Determining the spatial coverage slant range of the low-altitude base station based on its radio frequency parameters and network speed planning value includes: Based on the network speed planning value and the number of channels and communication bandwidth of the low-altitude base station, the communication link load intensity is determined, and the link carrying capacity value is determined based on the bandwidth rate adaptation coefficient and the communication link load intensity. The frequency propagation loss correction value is determined based on the operating frequency and frequency path attenuation coefficient of the low-altitude base station. The spatial coverage slant distance is determined based on the link carrying capacity value, the frequency propagation loss correction value, and the engineering comprehensive correction coefficient.

5. The dynamic network planning method according to claim 3, characterized in that, The determination of the coverage compliance rate based on the effective coverage area of ​​the low-altitude base station at its deployment location and the total area of ​​its grid partition includes: The ground coverage radius of the low-altitude base station is determined based on the sine value of the beam half-power angle of the low-altitude base station and the spatial coverage slant distance. The effective coverage area is determined based on the ground coverage radius, and the proportion of the effective coverage area in the total area of ​​its grid partition is determined as the coverage compliance rate.

6. The dynamic network planning method according to claim 5, characterized in that, The dynamic optimization and adjustment of the network deployment of the low-altitude base stations based on the coverage compliance rate includes: If the coverage compliance rate is less than a first preset threshold, the low-altitude base station in the grid partition is removed. If the coverage compliance rate is greater than the second preset threshold, the deployment location of the low-altitude base station in the grid partition remains unchanged; If the coverage compliance rate is between the first preset threshold and the second preset threshold, the grid partition is merged with its adjacent grid partition to form a merged planning area; Match a standard geometric coverage model that is compatible with the merged planning area in the preset coverage model library, and correct the deployment location of the low-altitude base station based on the standard geometric coverage model.

7. The dynamic network planning method according to claim 1, characterized in that, The method further includes: The communication quality compliance rate is determined based on the actual values ​​of the communication service indicators at the edges of the grid partitions and the corresponding planned values ​​of the communication service indicators. Based on the communication quality compliance rate, the network deployment parameters and communication configuration parameters of the low-altitude base station are dynamically optimized and adjusted.

8. A dynamic network planning device, characterized in that, include: The business demand determination module is used to determine the planned values ​​of communication service indicators based on the business demand of the area to be planned, wherein the planned values ​​of communication service indicators include network speed planned values. The coverage demand identification module is used to identify areas in the area to be planned where the communication quality does not meet the planning value of the communication service index as coverage demand areas, and to divide the coverage demand areas into multiple grid partitions; The deployment location determination module is used to determine the deployment location of the low-altitude base station in the grid partition based on the radio frequency parameters of the low-altitude base station to be deployed and the network speed planning value. The coverage compliance determination module is used to determine the coverage compliance rate based on the effective coverage area of ​​the low-altitude base station at its deployment location and the total area of ​​its grid partition. The dynamic optimization and adjustment module is used to dynamically optimize and adjust the network deployment of the low-altitude base stations based on the coverage compliance rate.

9. An electronic device, characterized in that, include: processor; Memory for storing the executable instructions of the processor; The processor is configured to execute the instructions to implement the dynamic networking planning method as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the dynamic networking planning method according to any one of claims 1 to 7.

Images