A communication unit layout optimization method and system based on communication depth coverage

Abstract

The present invention discloses a communication unit layout optimization method and system based on communication depth coverage, which relates to the field of communication unit layout optimization, including: dividing a number of communication areas according to the communication depth coverage environment; obtaining communication quality data characteristics of different communication areas, and establishing a communication quality data feature data set; performing dimensionality reduction processing on communication quality data feature data, and mapping three-dimensional space information to a two-dimensional plane; establishing a communication unit setting base point model, and optimizing the communication unit layout for the communication depth coverage area; establishing a communication unit information library with communication depth coverage, which is used to record and update communication quality data feature data, and provide data support for subsequent communication unit layout optimization. The advantages of the present invention are: effectively improving the processing capability of communication quality data characteristics, optimizing the communication unit layout with communication depth coverage, and providing reliability and comprehensiveness for the communication unit layout with communication depth coverage.

Description

Technical Field

[0001] The present invention relates to the field of communication unit layout optimization, and in particular to a communication unit layout optimization method and system based on communication depth coverage. Background Art

[0002] Scientific and reasonable layout of communication units can effectively improve signal quality and coverage, meet users' communication needs, and effectively improve resource utilization and rationality of resource allocation through the early layout of communication units in the communication deep coverage area. In particular, with the development of the information age, communication needs are becoming increasingly huge, and strengthening communication depth coverage and improving communication quality are receiving more and more attention. Therefore, optimizing the layout of communication units with communication depth coverage through effective technical means can ensure the effective implementation of communication depth coverage technology and the protection of users' communication rights and interests.

[0003] However, in the existing technology, the signal coverage quality is mainly improved by increasing the number of base stations in areas with dense users or high demand to form a dense layout, or by using a combination of macro base stations, micro base stations and pico base stations according to coverage requirements and environment to improve communication coverage and communication quality. However, these technical means lack systematic and comprehensive layout optimization capabilities, and are prone to local limitations and resource incoordination problems when constructing communication units. At the same time, unreasonable resource-intensive layout can easily lead to waste of resources, making it more difficult to achieve deep communication coverage. Summary of the invention

[0004] In order to solve the above technical problems, a communication unit layout optimization method and system based on communication deep coverage are provided. This technical solution solves the problems proposed in the above background technology, such as the lack of systematic and comprehensive layout optimization capabilities, the proneness to local limitations and resource incoordination when constructing communication units, and the unreasonable resource-intensive layout that easily leads to waste of resources, making the difficulty of communication deep coverage greater.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A communication unit layout optimization method based on communication depth coverage, comprising:

[0007] Obtaining plane feature information of the communication depth coverage area according to the map, and dividing several communication areas according to the communication depth coverage environment;

[0008] Based on big data, obtain the communication quality data characteristics of different communication areas and establish a communication quality data feature dataset;

[0009] According to the communication quality data feature data set, based on the SNE algorithm, the communication quality data feature data is reduced in dimension, and the three-dimensional space information is mapped onto a two-dimensional plane;

[0010] According to the signal strength of the communication unit and the communication area of ​​the communication depth coverage environment, a communication unit setting base point model is established to optimize the communication unit layout for the communication depth coverage area;

[0011] Establish a communication unit information database with deep communication coverage to record and update communication quality data characteristic data, and provide data support for subsequent communication unit layout optimization.

[0012] Preferably, the obtaining of plane feature information of the communication depth coverage area according to the map and dividing a number of communication areas according to the communication depth coverage environment specifically includes:

[0013] According to the requirements of the communication depth coverage area, the plane feature information of the communication depth coverage area is obtained through the existing map technology;

[0014] The plane feature information of the communication depth coverage area includes: the external outline of the building, location information, infrastructure and topography;

[0015] According to the plane feature information of the communication depth coverage area, the communication depth coverage environment is divided into several communication areas according to different feature types.

[0016] Preferably, the acquiring of communication quality data features of different communication areas based on big data and establishing a communication quality data feature data set specifically includes:

[0017] Based on big data, the communication quality data characteristics of different communication areas are obtained, where the communication quality data characteristics include: transmission rate, frequency band utilization, bit error rate, frame error rate, jitter and latency;

[0018] According to the characteristics of the communication quality data, the communication quality data characteristic data is classified and sorted to establish a communication quality data characteristic data set;

[0019] According to the Z-score normalization formula, the data in the communication quality data feature data set is optimized to eliminate the differences in dimensions and value ranges;

[0020] The Z-score normalization formula is: In the formula, is the data in the normalized communication quality data feature dataset, is the original data in the communication quality data feature dataset, is the mean of the original data in the communication quality data feature dataset, is the standard deviation of the original data in the communication quality data feature dataset.

[0021] Preferably, the step of performing dimensionality reduction processing on the communication quality data feature data based on the communication quality data feature data set and mapping the three-dimensional space information onto a two-dimensional plane based on the SNE algorithm specifically includes:

[0022] According to the communication quality data feature data set, establishing the communication quality data feature data true value and the two-dimensional plane mapping value;

[0023] According to the true value of the characteristic data of the communication quality data, the correlation and adjacent probability between the true value data are established;

[0024] According to the two-dimensional plane mapping values ​​of the communication quality data characteristic data, the correlation and adjacent probability between the mapping value data are established;

[0025] According to the probability of proximity between each true value data and the probability of proximity between each mapped value data, based on the KL divergence formula, the objective function of the characteristic data of the communication quality data is established;

[0026] According to the objective function of the communication quality data characteristic data, a momentum gradient descent formula of the communication quality data characteristic data objective function is established;

[0027] Based on the communication quality data feature data set and big data analysis, a communication quality data feature data dimensionality reduction optimization model is established;

[0028] Analyze the communication quality data characteristic data of the communication depth coverage area through the communication quality data characteristic data dimensionality reduction optimization model, and obtain the communication quality data characteristic data after dimensionality reduction optimization;

[0029] The correlation and proximity probability expressions between the true value data are as follows: In the formula, For the The true value of the communication quality data feature data is distributed in The probability around the data, For the The true value of the communication quality data feature data, For the The true value of the communication quality data feature data, For the The true value of the communication quality data feature data, No. The standard deviation of the true value of the communication quality data feature data, where It means Euclid norm;

[0030] The probability expression of the correlation and proximity between the data of the mapping value is: In the formula, For the The communication quality data feature data mapping values ​​are distributed in the The probability around the data, For the Communication quality data feature data mapping value, For the Communication quality data feature data mapping value, For the The communication quality data characteristic data mapping value; the objective function of the communication quality data characteristic data is: In the formula, is the gap between the real value of the communication quality data feature data and the distribution of the mapped value;

[0031] The momentum gradient descent formula of the communication quality data feature data objective function is: In the formula, For the The parameter value of the communication quality data characteristic data mapping value of the iteration, is the momentum coefficient, For the The parameter value of the communication quality data characteristic data mapping value of the iteration, For the The descending gradient of the communication quality data feature data mapping value.

[0032] Preferably, the communication unit setting base point model is established according to the signal strength of the communication unit and the communication area of ​​the communication depth coverage environment, and the communication unit layout for optimizing the communication depth coverage area specifically includes:

[0033] According to the communication depth coverage area environment and the setting requirements of the communication unit, set three initial base points of the communication unit and record the coordinates of the three initial base points;

[0034] According to the signal strength of the communication unit and the three initial base points of the communication unit, a circle is built with the optimal communication distance as the radius, and the coordinates of the initial common point and the coordinates of the circle intersection are determined by determining a common point through three circles;

[0035] Take the coordinates of the intersection of the circles as the points on the circle and the optimal communication distance of the communication unit as the radius to determine the next circular area, and so on to establish all the communication unit base points in the communication depth coverage area;

[0036] According to the plane characteristics of the communication depth coverage area, combined with the two-dimensional plane data of the communication quality data characteristic data, all communication unit base points in the communication depth coverage area are adjusted, and a communication unit setting base point model is established;

[0037] According to the communication unit setting base point model, by matching the plane features of the communication depth coverage area and confirming the initial position, the communication unit layout that optimizes the communication depth coverage area is completed;

[0038] The expression for determining a common point by the three circles is: In the formula, , , are the optimal communication distances of the three initial base points of the communication unit, , , are the coordinates of the three initial base points of the communication unit, are the coordinates of the common point determined by the three circles.

[0039] Preferably, the establishment of a communication unit information base with deep communication coverage for recording and updating communication quality data feature data to provide data support for subsequent communication unit layout optimization specifically includes:

[0040] Establish a communication unit information base of communication depth coverage according to communication quality data characteristic data and plane characteristics of communication depth coverage area;

[0041] A communication unit information base based on communication depth coverage is used to record and update communication quality data characteristic data and plane characteristics of different communication depth coverage areas;

[0042] The communication unit information library based on the communication depth coverage is used to build the operating environment of the communication unit setting base point model and record the communication unit base point information;

[0043] The communication unit information database based on deep communication coverage provides data support for subsequent communication unit layout optimization.

[0044] Furthermore, the present solution proposes a communication unit layout optimization system based on communication depth coverage, which is used to implement the communication unit layout optimization method based on communication depth coverage as described above, including:

[0045] A feature extraction module, which is used to obtain planar feature information of the communication depth coverage area according to the map, and divide a number of communication areas according to the communication depth coverage environment; based on big data, obtain communication quality data features of different communication areas, and establish a communication quality data feature data set;

[0046] The optimal layout module is used to perform dimensionality reduction processing on the communication quality data feature data according to the communication quality data feature data set based on the SNE algorithm, and map the three-dimensional space information to a two-dimensional plane; according to the signal strength of the communication unit and the communication area of ​​the communication depth coverage environment, a communication unit setting base point model is established to optimize the communication unit layout for the communication depth coverage area;

[0047] The information base module is used to establish a communication unit information base with deep communication coverage, to record and update communication quality data feature data, and to provide data support for subsequent communication unit layout optimization.

[0048] Preferably, the feature extraction module specifically includes:

[0049] An area division unit, the area division unit is used to obtain plane feature information of the communication depth coverage area according to the map, and divide a number of communication areas according to the communication depth coverage environment;

[0050] A feature extraction unit is used to obtain communication quality data features of different communication areas based on big data and establish a communication quality data feature data set.

[0051] Preferably, the optimal layout module specifically includes:

[0052] A data dimension reduction unit, wherein the data dimension reduction unit is used to perform dimension reduction processing on the communication quality data feature data according to the communication quality data feature data set based on the SNE algorithm, and map the three-dimensional space information onto a two-dimensional plane;

[0053] The optimal layout unit is used to establish a communication unit setting base point model according to the signal strength of the communication unit and the communication area of ​​the communication depth coverage environment, and optimize the communication unit layout for the communication depth coverage area.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] By extracting the plane features and communication quality data features of the communication depth coverage area, and optimizing the communication quality data feature data through the normalization formula, secondly, based on the SNE algorithm, a dimensionality reduction optimization model of the communication quality data feature data is established, and the three-dimensional spatial information is mapped to the two-dimensional plane. By analyzing the communication quality data feature data of the communication depth coverage area, the communication quality data feature data after dimensionality reduction optimization is obtained. Finally, according to the signal strength of the communication unit and the three initial base points of the communication unit, a circle is built with the optimal communication distance as the radius. By determining a common point by three circles, the coordinates of the initial common point and the coordinates of the intersection of the circles are determined, and the coordinates of the intersection of the circles are taken as the points on the circle, and the optimal communication distance of the communication unit is taken as the radius to determine the next circular area. By analogy, a communication unit setting base point model is established. By matching the plane features of the communication depth coverage area and confirming the initial position, the communication unit layout for the communication depth coverage area is optimized, which provides reliability and comprehensiveness for the communication unit layout of the communication depth coverage, and solves the problems of local limitations, resource incoordination and resource waste in the construction of communication units. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 A flow chart of a communication unit layout optimization method based on communication depth coverage of the present invention;

[0057] Figure 2 The present invention is a flow chart of reducing the dimension of the communication quality data feature data based on the SNE algorithm according to the communication quality data feature data set, and mapping the three-dimensional space information to a two-dimensional plane;

[0058] Figure 3 The flow chart of the communication unit layout of the present invention is to establish a communication unit setting base point model according to the signal strength of the communication unit and the communication area of ​​the communication depth coverage environment, and to optimize the communication unit layout of the communication depth coverage area; DETAILED DESCRIPTION

[0059] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0060] Reference Figure 1 As shown, a communication unit layout optimization method based on communication depth coverage includes:

[0061] Obtaining plane feature information of the communication depth coverage area according to the map, and dividing several communication areas according to the communication depth coverage environment;

[0062] Based on big data, obtain the communication quality data characteristics of different communication areas and establish a communication quality data feature dataset;

[0063] According to the communication quality data feature data set, based on the SNE algorithm, the communication quality data feature data is reduced in dimension, and the three-dimensional space information is mapped onto a two-dimensional plane;

[0064] According to the signal strength of the communication unit and the communication area of ​​the communication depth coverage environment, a communication unit setting base point model is established to optimize the communication unit layout for the communication depth coverage area;

[0065] Establish a communication unit information database with deep communication coverage to record and update communication quality data characteristic data, and provide data support for subsequent communication unit layout optimization.

[0066] It can be explained that this scheme extracts the plane features and communication quality data features of the communication depth coverage area, and optimizes the communication quality data feature data through the normalization formula. Secondly, based on the SNE algorithm, a communication quality data feature data dimensionality reduction optimization model is established to map the three-dimensional spatial information to the two-dimensional plane. By analyzing the communication quality data feature data of the communication depth coverage area, the communication quality data feature data after dimensionality reduction optimization is obtained. Finally, according to the signal strength of the communication unit and the three initial base points of the communication unit, a circle is built with the optimal communication distance as the radius. The coordinates of the initial common point and the coordinates of the intersection of the circles are determined by determining a common point through three circles. The coordinates of the intersection of the circles are used as the point on the circle, and the optimal communication distance of the communication unit is used as the radius to determine the next circular area. By analogy, a communication unit setting base point model is established, and the communication unit layout that optimizes the communication depth coverage area is completed by matching the plane features of the communication depth coverage area and confirming the initial position.

[0067] Reference Figure 2 As shown, the communication quality data feature data is reduced in dimension based on the SNE algorithm according to the communication quality data feature data set, and the three-dimensional space information is mapped onto a two-dimensional plane, specifically including:

[0068] According to the communication quality data feature data set, establishing the communication quality data feature data true value and the two-dimensional plane mapping value;

[0069] According to the true value of the characteristic data of the communication quality data, the correlation and adjacent probability between the true value data are established;

[0070] According to the two-dimensional plane mapping values ​​of the communication quality data characteristic data, the correlation and adjacent probability between the mapping value data are established;

[0071] According to the probability of proximity between each true value data and the probability of proximity between each mapped value data, based on the KL divergence formula, the objective function of the characteristic data of the communication quality data is established;

[0072] According to the objective function of the communication quality data characteristic data, a momentum gradient descent formula of the communication quality data characteristic data objective function is established;

[0073] Based on the communication quality data feature data set and big data analysis, a communication quality data feature data dimensionality reduction optimization model is established;

[0074] Analyze the communication quality data characteristic data of the communication depth coverage area through the communication quality data characteristic data dimensionality reduction optimization model, and obtain the communication quality data characteristic data after dimensionality reduction optimization;

[0075] The correlation and proximity probability expressions between the true value data are as follows: In the formula, For the The true value of the communication quality data feature data is distributed in The probability around the data, For the The true value of the communication quality data feature data, For the The true value of the communication quality data feature data, For the The true value of the communication quality data feature data, No. The standard deviation of the true value of the communication quality data feature data, where It means Euclid norm;

[0076] The probability expression of the correlation and proximity between the data of the mapping value is: In the formula, For the The communication quality data feature data mapping values ​​are distributed in the The probability around the data, For the Communication quality data feature data mapping value, For the Communication quality data feature data mapping value, For the The communication quality data characteristic data mapping value; the objective function of the communication quality data characteristic data is: In the formula, is the gap between the real value of the communication quality data feature data and the distribution of the mapped value;

[0077] The momentum gradient descent formula of the communication quality data feature data objective function is: In the formula, For the The parameter value of the communication quality data characteristic data mapping value of the iteration, is the momentum coefficient, For the The parameter value of the communication quality data characteristic data mapping value of the iteration, For the The descending gradient of the communication quality data feature data mapping value.

[0078] It can be explained that when processing the characteristic data of communication quality data, high-dimensional data is not conducive to intuitively analyzing the correlation between different characteristic data of communication quality data. At the same time, when processing high-dimensional data, it is very complicated and difficult compared to the two-dimensional plane. Therefore, this scheme introduces the SNE algorithm to reduce the dimension of the characteristic data of communication quality data and map the three-dimensional space information to the two-dimensional plane. By analyzing the characteristic data of the communication quality data after dimensionality reduction, the correlation between different characteristic data of communication quality data can be intuitively reflected. At the same time, the processing capability and convenience of the communication unit layout with deep coverage of communication can be improved.

[0079] Reference Figure 3 As shown, according to the signal strength of the communication unit and the communication area of ​​the communication depth coverage environment, a communication unit setting base point model is established, and the communication unit layout for optimizing the communication depth coverage area specifically includes:

[0080] According to the communication depth coverage area environment and the setting requirements of the communication unit, set three initial base points of the communication unit and record the coordinates of the three initial base points;

[0081] According to the signal strength of the communication unit and the three initial base points of the communication unit, a circle is built with the optimal communication distance as the radius, and the coordinates of the initial common point and the coordinates of the circle intersection are determined by determining a common point through three circles;

[0082] Take the coordinates of the intersection of the circles as the points on the circle and the optimal communication distance of the communication unit as the radius to determine the next circular area, and so on to establish all the communication unit base points in the communication depth coverage area;

[0083] According to the plane characteristics of the communication depth coverage area, combined with the two-dimensional plane data of the communication quality data characteristic data, all communication unit base points in the communication depth coverage area are adjusted, and a communication unit setting base point model is established;

[0084] According to the communication unit setting base point model, by matching the plane features of the communication depth coverage area and confirming the initial position, the communication unit layout that optimizes the communication depth coverage area is completed;

[0085] The expression for determining a common point by the three circles is: In the formula, , , are the optimal communication distances of the three initial base points of the communication unit, , , are the coordinates of the three initial base points of the communication unit, are the coordinates of the common point determined by the three circles.

[0086] It can be explained that this scheme uses the SNE algorithm to perform dimensionality reduction processing on the characteristic data of communication quality data, obtains characteristic two-dimensional plane data of communication quality data, builds a circle with the optimal communication distance as the radius according to the signal strength of the communication unit and the three initial base points of the communication unit, determines a common point by means of three circles, determines the coordinates of the initial common point and the coordinates of the intersection of the circles, and uses the coordinates of the intersection of the circles as the point on the circle and the optimal communication distance of the communication unit as the radius to determine the next circular area, and so on, and combines the characteristic two-dimensional plane data of communication quality data to establish a communication unit setting base point model, and completes the communication unit layout that optimizes the communication depth coverage area by matching the plane features of the communication depth coverage area and confirming the initial position.

[0087] Further, based on the same inventive concept as the above-mentioned communication unit layout optimization method based on communication depth coverage, this solution proposes a communication unit layout optimization system based on communication depth coverage, including:

[0088] A feature extraction module, which is used to obtain planar feature information of the communication depth coverage area according to the map, and divide a number of communication areas according to the communication depth coverage environment; based on big data, obtain communication quality data features of different communication areas, and establish a communication quality data feature data set;

[0089] The optimal layout module is used to perform dimensionality reduction processing on the communication quality data feature data according to the communication quality data feature data set based on the SNE algorithm, and map the three-dimensional space information to a two-dimensional plane; according to the signal strength of the communication unit and the communication area of ​​the communication depth coverage environment, a communication unit setting base point model is established to optimize the communication unit layout for the communication depth coverage area;

[0090] An information base module, which is used to establish a communication unit information base with deep communication coverage, to record and update communication quality data feature data, and to provide data support for subsequent communication unit layout optimization;

[0091] The feature extraction module specifically includes:

[0092] An area division unit, the area division unit is used to obtain plane feature information of the communication depth coverage area according to the map, and divide a number of communication areas according to the communication depth coverage environment;

[0093] A feature extraction unit, the feature extraction unit is used to obtain communication quality data features of different communication areas based on big data, and establish a communication quality data feature data set;

[0094] The optimal layout module specifically includes:

[0095] A data dimension reduction unit, wherein the data dimension reduction unit is used to perform dimension reduction processing on the communication quality data feature data according to the communication quality data feature data set based on the SNE algorithm, and map the three-dimensional space information onto a two-dimensional plane;

[0096] The optimal layout unit is used to establish a communication unit setting base point model according to the signal strength of the communication unit and the communication area of ​​the communication depth coverage environment, and optimize the communication unit layout for the communication depth coverage area.

[0097] In summary, the advantages of the present invention are: by extracting the plane features and communication quality data features of the communication depth coverage area, and optimizing the communication quality data feature data through the normalization formula, secondly, based on the SNE algorithm, a communication quality data feature data dimensionality reduction optimization model is established, and the three-dimensional space information is mapped to a two-dimensional plane. By analyzing the communication quality data feature data of the communication depth coverage area, the communication quality data feature data after dimensionality reduction optimization is obtained. Finally, according to the signal strength of the communication unit and the three initial base points of the communication unit, a circle is built with the optimal communication distance as the radius, and the initial common point coordinates and the circle intersection coordinates are determined by determining a common point by three circles, and the circle intersection coordinates are used as the point on the circle, and the optimal communication distance of the communication unit is used as the radius to determine the next circular area. By analogy, a communication unit setting base point model is established, and by matching the plane features of the communication depth coverage area and confirming the initial position, the communication unit layout for the communication depth coverage area is optimized, and reliability and comprehensiveness are provided for the communication unit layout with communication depth coverage, so as to solve the problems of local restrictions, resource incoordination and resource waste in the construction of communication units.

[0098] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A communication unit layout optimization method based on communication depth coverage, characterized in that: include: Obtaining plane feature information of the communication depth coverage area according to the map, and dividing several communication areas according to the communication depth coverage environment; Based on big data, obtain the communication quality data characteristics of different communication areas and establish a communication quality data feature dataset; According to the communication quality data feature data set, based on the SNE algorithm, the communication quality data feature data is reduced in dimension, and the three-dimensional space information is mapped onto a two-dimensional plane; According to the signal strength of the communication unit and the communication area of ​​the communication depth coverage environment, a communication unit setting base point model is established to optimize the communication unit layout for the communication depth coverage area; Establish a communication unit information database with deep communication coverage to record and update communication quality data characteristic data, and provide data support for subsequent communication unit layout optimization.

2. A communication unit layout optimization method based on communication depth coverage according to claim 1, characterized in that: The obtaining of plane feature information of the communication depth coverage area according to the map and dividing a number of communication areas according to the communication depth coverage environment specifically includes: According to the requirements of the communication depth coverage area, the plane feature information of the communication depth coverage area is obtained through the existing map technology; The plane feature information of the communication depth coverage area includes: the external outline of the building, location information, infrastructure and topography; According to the plane feature information of the communication depth coverage area, the communication depth coverage environment is divided into several communication areas according to different feature types.

3. A communication unit layout optimization method based on communication depth coverage according to claim 2, characterized in that: The method of obtaining communication quality data characteristics of different communication areas based on big data and establishing a communication quality data characteristic data set specifically includes: Based on big data, the communication quality data characteristics of different communication areas are obtained, where the communication quality data characteristics include: transmission rate, frequency band utilization, bit error rate, frame error rate, jitter and latency; According to the characteristics of the communication quality data, the communication quality data characteristic data is classified and sorted to establish a communication quality data characteristic data set; According to the Z-score normalization formula, the data in the communication quality data feature data set is optimized to eliminate the differences in dimensions and value ranges; The Z-score normalization formula is: In the formula, is the data in the normalized communication quality data feature dataset, is the original data in the communication quality data feature dataset, is the mean of the original data in the communication quality data feature dataset, is the standard deviation of the original data in the communication quality data feature dataset.

4. The communication unit layout optimization method based on communication depth coverage according to claim 3 is characterized in that: The method of reducing the dimension of the communication quality data feature data based on the communication quality data feature data set and mapping the three-dimensional space information to the two-dimensional plane based on the SNE algorithm specifically includes: According to the communication quality data feature data set, establishing the communication quality data feature data true value and the two-dimensional plane mapping value; According to the true value of the characteristic data of the communication quality data, the correlation and adjacent probability between the true value data are established; According to the two-dimensional plane mapping values ​​of the communication quality data characteristic data, the correlation and adjacent probability between the mapping value data are established; According to the probability of proximity between each true value data and the probability of proximity between each mapped value data, based on the KL divergence formula, the objective function of the characteristic data of the communication quality data is established; According to the objective function of the communication quality data characteristic data, a momentum gradient descent formula of the communication quality data characteristic data objective function is established; Based on the communication quality data feature data set and big data analysis, a communication quality data feature data dimensionality reduction optimization model is established; Analyze the communication quality data characteristic data of the communication depth coverage area through the communication quality data characteristic data dimensionality reduction optimization model, and obtain the communication quality data characteristic data after dimensionality reduction optimization; The correlation and proximity probability expressions between the true value data are as follows: In the formula, For the The true value of the communication quality data feature data is distributed in The probability around the data, For the The true value of the communication quality data feature data, For the The true value of the communication quality data feature data, For the The true value of the communication quality data feature data, No. The standard deviation of the true value of the communication quality data feature data, where It means Euclid norm; The probability expression of the correlation and proximity between the data of the mapping value is: In the formula, For the The communication quality data feature data mapping values ​​are distributed in the The probability around the data, For the Communication quality data feature data mapping value, For the Communication quality data feature data mapping value, For the Communication quality data characteristic data mapping value; The objective function of the communication quality data characteristic data is: In the formula, is the gap between the real value of the communication quality data feature data and the distribution of the mapped value; The momentum gradient descent formula of the communication quality data feature data objective function is: In the formula, For the The parameter value of the communication quality data characteristic data mapping value of the iteration, is the momentum coefficient, For the The parameter value of the communication quality data characteristic data mapping value of the iteration, For the The descending gradient of the communication quality data feature data mapping value.

5. The communication unit layout optimization method based on communication depth coverage according to claim 4 is characterized in that: The method of establishing a communication unit setting base point model according to the signal strength of the communication unit and the communication area of ​​the communication depth coverage environment, and optimizing the communication unit layout for the communication depth coverage area specifically includes: According to the communication depth coverage area environment and the setting requirements of the communication unit, set three initial base points of the communication unit and record the coordinates of the three initial base points; According to the signal strength of the communication unit and the three initial base points of the communication unit, a circle is built with the optimal communication distance as the radius, and the coordinates of the initial common point and the coordinates of the circle intersection are determined by determining a common point through three circles; Take the coordinates of the intersection of the circles as the points on the circle and the optimal communication distance of the communication unit as the radius to determine the next circular area, and so on to establish all the communication unit base points in the communication depth coverage area; According to the plane characteristics of the communication depth coverage area, combined with the two-dimensional plane data of the communication quality data characteristic data, all communication unit base points in the communication depth coverage area are adjusted, and a communication unit setting base point model is established; According to the communication unit setting base point model, by matching the plane features of the communication depth coverage area and confirming the initial position, the communication unit layout that optimizes the communication depth coverage area is completed; The expression for determining a common point by the three circles is: In the formula, , , are the optimal communication distances of the three initial base points of the communication unit, , , are the coordinates of the three initial base points of the communication unit, are the coordinates of the common point determined by the three circles.

6. A communication unit layout optimization method based on communication depth coverage according to claim 5, characterized in that: The establishment of a communication unit information library with deep communication coverage, which is used to record and update communication quality data feature data and provide data support for subsequent communication unit layout optimization, specifically includes: Establish a communication unit information base of communication depth coverage according to communication quality data characteristic data and plane characteristics of communication depth coverage area; A communication unit information base based on communication depth coverage is used to record and update communication quality data characteristic data and plane characteristics of different communication depth coverage areas; The communication unit information library based on the communication depth coverage is used to build the operating environment of the communication unit setting base point model and record the communication unit base point information; The communication unit information database based on deep communication coverage provides data support for subsequent communication unit layout optimization.

7. A communication unit layout optimization system based on communication depth coverage, characterized in that: A method for optimizing the layout of communication units based on communication depth coverage according to any one of claims 1 to 6, comprising: A feature extraction module, which is used to obtain planar feature information of the communication depth coverage area according to the map, and divide a number of communication areas according to the communication depth coverage environment; based on big data, obtain communication quality data features of different communication areas, and establish a communication quality data feature data set; The optimal layout module is used to perform dimensionality reduction processing on the communication quality data feature data according to the communication quality data feature data set based on the SNE algorithm, and map the three-dimensional space information to a two-dimensional plane; according to the signal strength of the communication unit and the communication area of ​​the communication depth coverage environment, a communication unit setting base point model is established to optimize the communication unit layout for the communication depth coverage area; The information base module is used to establish a communication unit information base with deep communication coverage, to record and update communication quality data feature data, and to provide data support for subsequent communication unit layout optimization.

8. A communication unit layout optimization system based on communication depth coverage according to claim 7, characterized in that: The feature extraction module specifically includes: An area division unit, the area division unit is used to obtain plane feature information of the communication depth coverage area according to the map, and divide a number of communication areas according to the communication depth coverage environment; A feature extraction unit is used to obtain communication quality data features of different communication areas based on big data and establish a communication quality data feature data set.

9. A communication unit layout optimization system based on communication depth coverage according to claim 8, characterized in that: The optimal layout module specifically includes: A data dimension reduction unit, wherein the data dimension reduction unit is used to perform dimension reduction processing on the communication quality data feature data according to the communication quality data feature data set based on the SNE algorithm, and map the three-dimensional space information onto a two-dimensional plane; The optimal layout unit is used to establish a communication unit setting base point model according to the signal strength of the communication unit and the communication area of ​​the communication depth coverage environment, and optimize the communication unit layout for the communication depth coverage area.

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