Comprehensive performance evaluation method for joint deployment of multiple 5G macro base stations in same scene

Abstract

The invention discloses a comprehensive performance evaluation method for joint deployment of multiple 5G macro base stations in the same scene, and belongs to the technical field of 5G communication. According to the comprehensive performance evaluation method for joint deployment of the multiple 5G macro base stations in the same scene, comprehensive, accurate and visual evaluation is carried out on 5G base station deployment in an evaluation target area from seven aspects of base station deployment density, base station coverage area, weak coverage, overlapping coverage, inter-base station interference, antenna azimuth angles and antenna downward inclination angles. According to the comprehensive performance evaluation method for joint deployment of the multiple 5G macro base stations in the same scene, the comprehensive performance of joint deployment of the multiple 5G macro base stations can be evaluated, the performance of the 5G macro base stations can be evaluated more comprehensively and finely, and a basis is provided for network optimization and resource management.

Description

Technical Field

[0001] The present invention belongs to the field of 5G communication technology, and in particular relates to a comprehensive performance evaluation method for the joint deployment of multiple 5G macro base stations in the same scenario. Background Art

[0002] The macro base station of the fifth generation mobile communication technology (5G for short) is an important part of the 5G network and is mainly used to provide wireless communication services. With the rapid development and widespread application of 5G technology, the deployment of 5G macro base stations has become an important research field. Globally, many countries are accelerating the construction of 5G networks to meet the needs of different industries and users for 5G networks. The importance of a comprehensive performance evaluation method for deploying multiple 5G macro base stations in the same scenario is self-evident. It can help understand and grasp the deployment of 5G macro base stations in a specific area, including the density, distribution, coverage, etc. of the base stations. At the same time, this evaluation method can also help better understand the construction cost and benefits of 5G networks, optimize the layout of base stations, and improve network performance and user satisfaction.

[0003] Through the evaluation, we can fully understand the deployment of multiple 5G macro base stations in the scenario, identify deficiencies and take effective measures to improve them. At the same time, this evaluation method also provides reference and reference for different industries and users, promoting the development and application of global 5G technology. In the future, with the continuous evolution of 5G technology and the expansion of application fields, we can further optimize the evaluation method, improve the indicator system, and strengthen the cross-integration with other related fields to better support 5G network planning and construction. However, given that there are still some problems with the current evaluation method, such as:

[0004] (1) Existing evaluation methods usually only evaluate the performance of a single 5G macro base station, but lack the comprehensive performance evaluation of multiple 5G macro base stations deployed together;

[0005] (2) The existing evaluation methods do not take into account sufficient factors and ignore the evaluation of base station density, antenna azimuth angle and antenna downtilt angle.

[0006] Therefore, a new technical solution is urgently needed in the prior art to solve this problem. Summary of the invention

[0007] The technical problem to be solved by the present invention is to provide a comprehensive performance evaluation method for the joint deployment of multiple 5G macro base stations in the same scenario, which is used to solve the technical problems that the existing evaluation methods cannot evaluate the comprehensive performance of the joint deployment of multiple 5G macro base stations and the factors considered are not sufficient.

[0008] The technical solution adopted by the present invention is to provide a comprehensive performance evaluation method for the joint deployment of multiple 5G macro base stations in the same scenario, including base station communication data acquisition, base station deployment density scoring method, base station coverage area scoring method, weak coverage scoring method, overlapping coverage scoring method, inter-base station interference scoring method, antenna azimuth angle scoring method, antenna downtilt angle scoring method and base station deployment comprehensive scoring method.

[0009] The base station communication data includes field measurement data of the target area and operator background data, the field measurement data is reference signal receiving power data, and the operator background data includes base station location data, coverage radius data, antenna azimuth angle data, and antenna downtilt angle data.

[0010] The base station deployment density score z1 is calculated as follows:

[0011]

[0012] The ratio x1 of the base station deployment density in the target area to the base station deployment density reference value is:

[0013]

[0014] Among them, ρ refrence The reference value of base station deployment density is 15.7 / 10,000 people, λ is the weight of the reference value of base station deployment density, 0<λ≤2, which can be adjusted according to different base station deployment scenarios. By default, λ=1.5 in dense urban areas, λ=1 in general urban areas, and λ=0.5 in suburban areas;

[0015] Base station deployment density The calculation method is:

[0016]

[0017] in, The unit is per 10,000 people, N BS is the total number of base stations in the target area;

[0018] Base station deployment scenarios sce are divided into three categories: when sce = 1, it is a dense urban area; when sce = 2, it is a general urban area; when sce = 3, it is a suburban area. The base station deployment density in different scenarios is slightly different. The number of communication people in the target area A sce The calculation method is:

[0019]

[0020] Among them, A sce The unit is 10,000 people, S is the target area, the unit is m 2 , ρ sce is the population density in the target area, in units of people / m 2,θ sce is the user penetration rate of the operator, a sce is the power-on ratio, β sce is the connection ratio.

[0021] The base station coverage area score z2 is calculated as follows:

[0022]

[0023] The ratio of the actual coverage area of ​​all base stations to the planned coverage area x2 is:

[0024]

[0025] Among them, S is the planned coverage area;

[0026] Each base station has three sectors. Each sector is responsible for covering wireless signals in a specific direction. The coverage shape of a sector is close to a heart shape. The actual coverage area of ​​the g-th base station is The calculation method is:

[0027]

[0028] Where g = 1, 2, ..., N BS is the g-th base station, γ is the effective coverage area factor of dense urban area, general urban area and suburban area, and its value range is 0<γ≤1. It can be adjusted according to the actual environment. By default, dense urban area γ=0.7, general urban area γ=0.8, suburban area γ=0.9, and R is the base station coverage radius, in m.

[0029] The weak coverage score z3 is calculated as follows:

[0030]

[0031] According to actual measurements, when RSRP < -110dBm, the signal strength is weak and the coverage is small. The ratio of RSRP < -110dBm data in all measured RSRP data is defined as the weak coverage ratio. The target area is divided into several small rectangular areas. By default, the small rectangular area is 16m 2 , the area of ​​the small rectangular area can be changed according to the actual situation, and a data sample of RSRP is sampled once in any small rectangular area. The calculation method of weak coverage ratio x3 is:

[0032]

[0033] Among them, R weak is the number of samples with RSRP < -110dBm, R all is the number of all RSRP samples measured.

[0034] The overlap coverage score z4 is calculated as follows:

[0035]

[0036] According to actual measurements, overlapping coverage is defined as the area where the number of neighboring cells within the 5dB range of the strongest cell RSRP is two or more and the RSRP>-110dbm. RSRP is sampled once in any small rectangular area, and the overlapping coverage ratio x4 is calculated as follows:

[0037]

[0038] Among them, R overlap is the number of samples where the RSRP difference between two or more neighboring cells is within 5dB and RSRP>-110dBm, R all is the number of all RSRP samples measured.

[0039] The inter-base station interference score z5 is calculated as follows:

[0040]

[0041] The interference base station ratio x5 is defined as:

[0042]

[0043] Among them, N inter is d IJ The number of interfering base stations is less than d, and there is no repeated counting of base stations in the statistics of the number of interfering base stations;

[0044] When the distance between multiple base stations is less than 1.5R, the signals may interfere with each other, and the buffer distance d between base stations is defined as:

[0045] d=ε×R

[0046] The unit of d is m, ε is the distance weight between base stations, 1.5≤ε≤2, which can be adjusted according to the actual base station deployment. By default, ε=1.5;

[0047] Get the location data of all base stations in the target area from the operator's backend. Assume that there are N BS Base stations, convert the longitude and latitude coordinates of the base stations into Cartesian coordinates of a two-dimensional plane, then the distance d between any two base stations is IJ for:

[0048]

[0049] Among them, d IJThe unit is m, I and J represent the Ith and Jth base stations, and the value range is 1, 2, 3…, N BS , a represents the abscissa of the Cartesian coordinate system, and b represents the ordinate of the Cartesian coordinate system.

[0050] The antenna azimuth score z6 of the target area is calculated as follows:

[0051]

[0052] The base station location data and antenna azimuth data are obtained from the operator's backend, and the base station latitude and longitude coordinates are converted into Cartesian coordinates in a two-dimensional plane. Each base station consists of three sectors, and each sector is the coverage range of an antenna. Connect the direction ends of each sector and find the base station with the shortest distance from the midpoint of each edge to other base stations, and the distance range is between [R, 2R]. According to Angle to determine the degree of azimuth complementarity between base stations. is the i-th (i=1,2,3…,N BS ) base station’s jth (j=1,2,3) sector’s antenna azimuth deviation angle, each Antenna azimuth score The calculation method is:

[0053]

[0054] The antenna downtilt angle score z7 of the target area is calculated as follows:

[0055]

[0056] Target area i (i=1,2,3…,N BS ) base station's antenna downtilt score for the jth (j=1,2,3) sector The calculation method is:

[0057]

[0058] in, is the antenna downtilt angle of the jth sector of the i-th base station;

[0059] The base station antenna downtilt angle data is obtained from the operator's backend. In order to align the main lobe of the antenna with the main coverage area of ​​the cell, the most appropriate way is to align the 3dB point of the antenna main lobe with the edge of the cell. According to the planned base station coverage radius R, the antenna downtilt angle can be adjusted. When the radius R is determined, the antenna downtilt angle ψ is calculated as follows:

[0060] ψ=arctan(H / D)+φ / 2

[0061] Where H is the antenna height in meters, φ is the vertical half-power angle of the antenna in degrees, and D is the actual coverage radius of the base station in meters;

[0062] However, there is an error between the actual environment and the coverage radius R obtained by theoretical calculation. The actual coverage radius may be in the range of R-ξ·50≤D≤R+ξ·50, where ξ is the error weight, and its value range is 0<ξ≤10. By default, ξ=1 in densely populated urban areas, ξ=4 in general urban areas, and ξ=6 in suburban areas. The specific value can be determined according to the actual situation. According to formula (18), the adjustable range of the antenna downtilt angle [ψ1, ψ2] can be calculated, where ψ1<ψ2.

[0063] The base station deployment comprehensive score Z:

[0064] Z=w1×z1+w2×z2+w3×z3+w4×z4+w5×z5+w6×z6+w7×z7

[0065] Among them, w1 is the weight of the base station deployment density score, w2 is the weight of the base station coverage area score, w3 is the weight of the weak coverage score, w4 is the weight of the overlapping coverage score, w5 is the weight of the interference score between base stations, w6 is the weight of the antenna azimuth score, and w7 is the weight of the antenna downtilt angle score. Each weight can be adjusted according to the specific situation. The value range is (0,1], and the default is

[0066] The range of the comprehensive score of base station deployment is 0≤Z≤10. When 0≤Z<6, the base station deployment in this scenario is considered unqualified; when 6≤Z≤7, the base station deployment in this scenario is considered qualified; when 7<Z<9, the base station deployment in this scenario is considered good; when 9≤Z≤10, the base station deployment in this scenario is considered excellent.

[0067] Through the above design scheme, the present invention can bring the following beneficial effects: it fully considers a series of key indicators such as 5G macro base station deployment density, base station coverage area, weak coverage, overlapping coverage, interference between base stations, antenna azimuth angle and antenna downtilt angle, and can evaluate the performance of 5G macro base stations more comprehensively and finely, providing a basis for network optimization and resource management. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 It is a flow chart of a comprehensive performance evaluation method for joint deployment of multiple 5G macro base stations in the same scenario of the present invention;

[0069] Figure 2 A schematic diagram of the azimuth angle of base station antennas of a comprehensive performance evaluation method for joint deployment of multiple 5G macro base stations in the same scenario of the present invention;

[0070] Figure 3A schematic diagram of the base station antenna downtilt angle of a comprehensive performance evaluation method for the joint deployment of multiple 5G macro base stations in the same scenario according to the present invention. DETAILED DESCRIPTION

[0071] The present invention is further described below with reference to the accompanying drawings and specific embodiments:

[0072] like Figure 1 As shown, the comprehensive performance evaluation method for the joint deployment of multiple 5G macro base stations in the same scenario of the present invention includes base station communication data acquisition, base station deployment density scoring method, base station coverage area scoring method, weak coverage scoring method, overlapping coverage scoring method, inter-base station interference scoring method, antenna azimuth scoring method, antenna downtilt scoring method, and base station deployment comprehensive scoring method, and the specific contents are:

[0073] (1) Base station communication data acquisition

[0074] The base station communication data includes the on-site measurement data of the target area and the operator background data. The on-site measurement data is the reference signal received power (RSRP) data. The operator background data includes the base station location data, coverage radius data, antenna azimuth data, and antenna downtilt data. The target area refers to the area that needs to be evaluated in the same scenario.

[0075] (2) Base station deployment density scoring method

[0076] Base station deployment scenarios sce are divided into three categories: when sce = 1, it is a dense urban area; when sce = 2, it is a general urban area; when sce = 3, it is a suburban area. The base station deployment density in different scenarios is slightly different. The number of communication people in the target area A sce The calculation method is:

[0077]

[0078] Among them, A sce The unit is 10,000 people, S is the target area, the unit is m 2 , ρ sce is the population density in the target area, in units of people / m 2 ,θ sce is the user penetration rate of the operator, a sce is the power-on ratio, β sce is the connection ratio;

[0079] Base station deployment density The calculation method is:

[0080]

[0081] in, The unit is per 10,000 people, N BSis the total number of base stations in the target area;

[0082] The ratio x1 of the base station deployment density in the target area to the base station deployment density reference value is:

[0083]

[0084] Among them, ρ refrence The reference value of base station deployment density is 15.7 / 10,000 people, λ is the weight of the reference value of base station deployment density, 0<λ≤2, which can be adjusted according to different base station deployment scenarios. By default, λ=1.5 in dense urban areas, λ=1 in general urban areas, and λ=0.5 in suburban areas;

[0085] The calculation method of base station deployment density score z1 is:

[0086]

[0087] (3) Base station coverage area scoring method

[0088] Each base station has three sectors. Each sector is responsible for covering wireless signals in a specific direction. The coverage shape of a sector is close to a heart shape. The actual coverage area of ​​the g-th base station is The calculation method is:

[0089]

[0090] Where g = 1, 2, ..., N BS is the g-th base station, γ is the effective coverage area factor of dense urban area, general urban area and suburban area, and its value range is 0<γ≤1. It can be adjusted according to the actual environment. By default, dense urban area γ=0.7, general urban area γ=0.8, suburban area γ=0.9, and R is the base station coverage radius, in meters;

[0091] The ratio of the actual coverage area of ​​all base stations to the planned coverage area x2 is:

[0092]

[0093] Among them, S is the planned coverage area;

[0094] The calculation method of base station coverage area score z2 is:

[0095]

[0096] (4) Weak Coverage Scoring Method

[0097] According to actual measurements, when RSRP < -110dBm, the signal strength is weak and the coverage is small. The ratio of RSRP < -110dBm data in all measured RSRP data is defined as the weak coverage ratio. The target area is divided into several small rectangular areas. By default, the small rectangular area is 16m 2 , the area of ​​the small rectangular area can be changed according to the actual situation, and a data sample of RSRP is sampled once in any small rectangular area. The calculation method of weak coverage ratio x3 is:

[0098]

[0099] Among them, R weak is the number of samples with RSRP < -110dBm, R all To measure the number of all RSRP samples;

[0100] The weak coverage score z3 is calculated as:

[0101]

[0102] (5) Overlap coverage scoring method

[0103] According to actual measurements, overlapping coverage is defined as the area where the number of neighboring cells within the 5dB range of the strongest cell RSRP is two or more and the RSRP>-110dbm. RSRP is sampled once in any small rectangular area, and the overlapping coverage ratio x4 is calculated as follows:

[0104]

[0105] Among them, R overlap is the number of samples where the RSRP difference between two or more neighboring cells is within 5dB and RSRP>-110dBm, R all To measure the number of all RSRP samples;

[0106] The overlap coverage score z4 is calculated as:

[0107]

[0108] (6) Inter-base station interference scoring method

[0109] When the distance between multiple base stations is less than 1.5R, the signals may interfere with each other, and the buffer distance d between base stations is defined as:

[0110] d=ε×R (12)

[0111] The unit of d is m, ε is the distance weight between base stations, 1.5≤ε≤2, which can be adjusted according to the actual base station deployment. By default, ε=1.5;

[0112] Get the location data of all base stations in the target area from the operator's backend. Assume that there are N BS Base stations, convert the longitude and latitude coordinates of the base stations into Cartesian coordinates of a two-dimensional plane, then the distance d between any two base stations is IJ for:

[0113]

[0114] Among them, d IJ The unit is m, I and J represent the Ith and Jth base stations, and the value range is 1, 2, 3…, N BS , a represents the abscissa of the Cartesian coordinate system, and b represents the ordinate of the Cartesian coordinate system;

[0115] Then the interference base station ratio x5 is defined as:

[0116]

[0117] Among them, N inter is d IJ The number of interfering base stations is less than d, and there is no repeated counting of base stations in the statistics of the number of interfering base stations;

[0118] The calculation method of the inter-base station interference score z5 is:

[0119]

[0120] (7) Antenna azimuth scoring method

[0121] The base station location data and antenna azimuth data are obtained from the operator's backend, and the base station latitude and longitude coordinates are converted into two-dimensional Cartesian coordinates. Each base station consists of three sectors, and each sector is the coverage range of an antenna, such as Figure 2 As shown, connect the ends of each sector direction, find the base station with the shortest distance from the midpoint of each edge to other base stations, and the distance range is between [R, 2R]. Angle to determine the degree of azimuth complementarity between base stations. is the i-th (i=1,2,3…,N BS ) base station’s jth (j=1,2,3) sector’s antenna azimuth deviation angle, each Antenna azimuth score The calculation method is:

[0122]

[0123] The antenna azimuth score z6 of the target area is calculated as:

[0124]

[0125] (8) Antenna downtilt angle scoring method

[0126] Obtain the base station antenna downtilt angle data from the operator's backend. In order to align the antenna's main lobe with the main coverage area of ​​the cell, the most appropriate way is to align the 3dB point of the antenna's main lobe with the edge of the cell, such as Figure 3 As shown in the figure, according to the planned base station coverage radius R, the antenna downtilt angle can be adjusted. When the radius R is determined, the antenna downtilt angle ψ is calculated as follows:

[0127] ψ=arctan(H / D)+φ / 2 (18)

[0128] Where H is the antenna height in meters, φ is the vertical half-power angle of the antenna in degrees, and D is the actual coverage radius of the base station in meters;

[0129] However, there is an error between the actual environment and the coverage radius R obtained by theoretical calculation. The actual coverage radius may be R-ξ·50≤D≤R+ξ·50, where ξ is the error weight, and the value range is 0<ξ≤10. By default, ξ=1 in dense urban areas, ξ=4 in general urban areas, and ξ=6 in suburban areas. The specific value can be determined according to the actual situation. According to formula (18), the adjustable range of the antenna downtilt angle [ψ1, ψ2] can be calculated, where ψ1<ψ2;

[0130] Then the target area i (i=1,2,3…,N BS ) base station's antenna downtilt score for the jth (j=1,2,3) sector The calculation method is:

[0131]

[0132] in, is the antenna downtilt angle of the jth sector of the i-th base station;

[0133] The antenna downtilt score z7 of the target area is calculated as:

[0134]

[0135] (9) Comprehensive scoring method for base station deployment

[0136] The comprehensive base station deployment score Z is calculated based on the base station deployment density score, base station coverage area score, weak coverage score, overlapping coverage score, inter-base station interference score, antenna azimuth score, and antenna downtilt score:

[0137] Z=w1×z1+w2×z2+w3×z3+w4×z4+w5×z5+w6×z6+w7×z7 (21)

[0138] Among them, w1 is the weight of the base station deployment density score, w2 is the weight of the base station coverage area score, w3 is the weight of the weak coverage score, w4 is the weight of the overlapping coverage score, w5 is the weight of the interference score between base stations, w6 is the weight of the antenna azimuth score, and w7 is the weight of the antenna downtilt angle score. Each weight can be adjusted according to the specific situation. The value range is (0,1], and the default is

[0139] The range of the comprehensive score of base station deployment is 0≤Z≤10. When 0≤Z<6, the base station deployment in this scenario is considered unqualified; when 6≤Z≤7, the base station deployment in this scenario is considered qualified; when 7<Z<9, the base station deployment in this scenario is considered good; when 9≤Z≤10, the base station deployment in this scenario is considered excellent.

[0140] The software program involved in the present invention is compiled based on mobile communication, network and computer processing technologies, which are technologies familiar to those skilled in the art.

[0141] The implementation methods of the present invention are not limited to the above-mentioned embodiments, and any other changes, modifications, substitutions, combinations, and simplifications made without departing from the spirit and principle of the present invention should be equivalent replacement methods and are included in the protection scope of the present invention.

Claims

1. A comprehensive performance evaluation method for joint deployment of multiple 5G macro base stations in the same scenario, characterized in that: It includes base station communication data acquisition, base station deployment density scoring method, base station coverage area scoring method, weak coverage scoring method, overlapping coverage scoring method, inter-base station interference scoring method, antenna azimuth angle scoring method, antenna downtilt angle scoring method and base station deployment comprehensive scoring method.

2. According to claim 1, the comprehensive performance evaluation method for joint deployment of multiple 5G macro base stations in the same scenario is characterized in that: The base station communication data includes field measurement data of the target area and operator background data, the field measurement data is reference signal receiving power data, and the operator background data includes base station location data, coverage radius data, antenna azimuth angle data, and antenna downtilt angle data.

3. According to claim 1, the comprehensive performance evaluation method for joint deployment of multiple 5G macro base stations in the same scenario is characterized in that: The base station deployment density score z1 is calculated as follows: The ratio x1 of the base station deployment density in the target area to the base station deployment density reference value is: Among them, ρ refrence The reference value of base station deployment density is 15.7 / 10,000 people, λ is the weight of the reference value of base station deployment density, 0<λ≤2, which can be adjusted according to different base station deployment scenarios. By default, λ=1.5 in dense urban areas, λ=1 in general urban areas, and λ=0.5 in suburban areas; Base station deployment density The calculation method is: in, The unit is per 10,000 people, N BS is the total number of base stations in the target area; Base station deployment scenarios sce are divided into three categories: when sce = 1, it is a dense urban area; when sce = 2, it is a general urban area; when sce = 3, it is a suburban area. The base station deployment density in different scenarios is slightly different. The number of communication people in the target area A sce The calculation method is: Among them, A sce The unit is 10,000 people, S is the target area, the unit is m 2 , ρ sce is the population density in the target area, in units of people / m 2 ,θ sce is the user penetration rate of the operator, a sce is the power-on ratio, β sce is the connection ratio.

4. According to claim 1, the comprehensive performance evaluation method for joint deployment of multiple 5G macro base stations in the same scenario is characterized in that: The base station coverage area score z2 is calculated as follows: The ratio of the actual coverage area of ​​all base stations to the planned coverage area x2 is: Among them, S is the planned coverage area; Each base station has three sectors. Each sector is responsible for covering wireless signals in a specific direction. The coverage shape of a sector is close to a heart shape. The actual coverage area of ​​the g-th base station is The calculation method is: Where g = 1, 2, ..., N BS is the g-th base station, γ is the effective coverage area factor of dense urban area, general urban area and suburban area, and its value range is 0<γ≤1. It can be adjusted according to the actual environment. By default, dense urban area γ=0.7, general urban area γ=0.8, suburban area γ=0.9, and R is the base station coverage radius, in m.

5. According to claim 1, the comprehensive performance evaluation method for joint deployment of multiple 5G macro base stations in the same scenario is characterized in that: The weak coverage score z3 is calculated as follows: According to actual measurements, when RSRP < -110dBm, the signal strength is weak and the coverage is small. The ratio of RSRP < -110dBm data in all measured RSRP data is defined as the weak coverage ratio. The target area is divided into several small rectangular areas. By default, the small rectangular area is 16m 2 , the area of ​​the small rectangular area can be changed according to the actual situation, and a data sample of RSRP is sampled once in any small rectangular area. The calculation method of weak coverage ratio x3 is: Among them, R weak is the number of samples with RSRP < -110dBm, R all is the number of all RSRP samples measured.

6. According to claim 1, the comprehensive performance evaluation method for joint deployment of multiple 5G macro base stations in the same scenario is characterized in that: The overlap coverage score z4 is calculated as follows: According to actual measurements, overlapping coverage is defined as the area where the number of neighboring cells within the 5dB range of the strongest cell RSRP is two or more and the RSRP>-110dbm. RSRP is sampled once in any small rectangular area, and the overlapping coverage ratio x4 is calculated as follows: Among them, R overlap is the number of samples where the RSRP difference between two or more neighboring cells is within 5dB and RSRP>-110dBm, R all is the number of all RSRP samples measured.

7. The comprehensive performance evaluation method for joint deployment of multiple 5G macro base stations in the same scenario according to claim 1 is characterized in that: The inter-base station interference score z5 is calculated as follows: The interference base station ratio x5 is defined as: Among them, N inter is d IJ The number of interfering base stations is less than d, and there is no phenomenon of repeated counting of base stations in the statistics of the number of interfering base stations; When the distance between multiple base stations is less than 1.5R, the signals may interfere with each other. The buffer distance d between base stations is defined as: d=ε×R The unit of d is m, ε is the distance weight between base stations, 1.5≤ε≤2, which can be adjusted according to the actual base station deployment. By default, ε=1.5; Get the location data of all base stations in the target area from the operator's backend. Assume that there are N BS base stations, convert the longitude and latitude coordinates of the base stations into Cartesian coordinates of a two-dimensional plane, then the distance d between any two base stations is IJ for: Among them, d IJ The unit is m, I and J represent the Ith and Jth base stations, and the value range is 1, 2, 3…, N BS , a represents the abscissa of the Cartesian coordinate system, and b represents the ordinate of the Cartesian coordinate system.

8. The comprehensive performance evaluation method for joint deployment of multiple 5G macro base stations in the same scenario according to claim 1 is characterized in that: The antenna azimuth score z6 of the target area is calculated as follows: The base station location data and antenna azimuth data are obtained from the operator's backend, and the base station latitude and longitude coordinates are converted into Cartesian coordinates in a two-dimensional plane. Each base station consists of three sectors, and each sector is the coverage range of an antenna. Connect the direction ends of each sector and find the base station with the shortest distance from the midpoint of each edge to other base stations, and the distance range is between [R, 2R]. According to Angle to determine the degree of azimuth complementarity between base stations. is the i-th (i=1,2,3…,N BS ) base station’s jth (j=1,2,3) sector’s antenna azimuth deviation angle, each Antenna azimuth score The calculation method is:

9. The comprehensive performance evaluation method for joint deployment of multiple 5G macro base stations in the same scenario according to claim 1 is characterized in that: The antenna downtilt angle score z7 of the target area is calculated as follows: Target area i (i=1,2,3…,N BS ) The antenna downtilt angle score of the jth (j=1,2,3) sector of the base station The calculation method is: in, is the antenna downtilt angle of the jth sector of the i-th base station; The base station antenna downtilt angle data is obtained from the operator's backend. In order to align the main lobe of the antenna with the main coverage area of ​​the cell, the most appropriate way is to align the 3dB point of the antenna main lobe with the edge of the cell. According to the planned base station coverage radius R, the antenna downtilt angle can be adjusted. When the radius R is determined, the antenna downtilt angle ψ is calculated as follows: ψ=arctan(H / D)+φ / 2 Where H is the antenna height in meters, φ is the vertical half-power angle of the antenna in degrees, and D is the actual coverage radius of the base station in meters; However, there is an error between the actual environment and the coverage radius R obtained by theoretical calculation. The actual coverage radius may be in the range of R-ξ·50≤D≤R+ξ·50, where ξ is the error weight, and its value range is 0<ξ≤10. By default, ξ=1 in densely populated urban areas, ξ=4 in general urban areas, and ξ=6 in suburban areas. The specific value can be determined according to the actual situation. According to formula (18), the adjustable range of the antenna downtilt angle [ψ1, ψ2] can be calculated, where ψ1<ψ2.

10. The comprehensive performance evaluation method for joint deployment of multiple 5G macro base stations in the same scenario according to claim 1, characterized in that: The base station deployment comprehensive score Z: Z=w1×z1+w2×z2+w3×z3+w4×z4+w5×z5+w6×z6+w7×z7 Among them, w1 is the weight of the base station deployment density score, w2 is the weight of the base station coverage area score, w3 is the weight of the weak coverage score, w4 is the weight of the overlapping coverage score, w5 is the weight of the interference score between base stations, w6 is the weight of the antenna azimuth score, and w7 is the weight of the antenna downtilt angle score. Each weight can be adjusted according to the specific situation. The value range is (0,1], and the default is The range of the comprehensive score of base station deployment is 0≤Z≤10. When 0≤Z<6, the base station deployment in this scenario is considered unqualified; when 6≤Z≤7, the base station deployment in this scenario is considered qualified; when 7<Z<9, the base station deployment in this scenario is considered good; when 9≤Z≤10, the base station deployment in this scenario is considered excellent.

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