An Optimization Method for 5G Multi-Carrier Power Amplifier Base Station Amplification System

Abstract

The present application relates to an optimization method for a 5G multi-carrier power amplifier base station amplification system, including obtaining the estimated cost, geographical information of the area to be built, personnel distribution map, and location information of the base station, determining the location information of the base station as the proximal location information of the proximal unit, obtaining multiple sub-areas to be built and corresponding importance levels based on the personnel distribution map, obtaining the first sorting result based on the importance levels, obtaining the construction cost of a single remote unit, determining the target sub-area according to the first sorting result, determining the number of remote units corresponding to the target sub-area, the remote location information corresponding to each remote unit, and connection information, generating and storing the sub-construction plan for the target sub-area, determining the regional construction cost of the target sub-area, determining the total regional construction cost based on the regional construction cost, and determining the construction plan based on the total regional construction cost and the estimated cost.

Description

Technical Field

[0001] This application relates to the technical field of wireless communication, and particularly to an optimization method for a 5G multi-carrier power amplifier base station system. Background Art

[0002] With the rapid development of mobile communication networks, the 5G network era has quietly arrived. Although the mobile communication network currently covers a relatively large area in many regions, and the signals of the mobile communication network can support local users, it is only the 4G network. For users with 5G network requirements, the current 5G network coverage obviously cannot meet the current user needs. And the cost of building a new base station in areas where the 5G network is not covered is relatively large. To solve this problem, the 5G multi-frequency power amplifier base station amplification system came into being.

[0003] The 5G multi-frequency power amplifier base station amplification system is a network coverage system that wired-couples base station signals and uses digital transmission methods for wireless network coverage. It consists of a remote unit and a proximal unit. The proximal unit forwards the signals sent by the base station to the remote unit, and then the remote unit forwards the signals to users near the remote unit. Similarly, the remote unit can receive the signals sent by users and send them to the proximal unit, which is then sent to the base station by the proximal unit, thus achieving the effect of expanding the 5G network coverage area of the base station without building a new base station.

[0004] However, currently, there are the following problems in achieving the 5G network coverage effect by building a 5G multi-carrier power amplifier base station amplification system:

[0005] 1. When building a 5G multi-carrier power amplifier base station amplification system, since the system includes two parts: a remote unit and a proximal unit, and the number of proximal units can be adjusted according to actual needs on-site. When any one of the number of proximal units, the location information of each proximal unit, and the connection information of each proximal unit is different, the construction plan of the multi-carrier power amplifier base station amplification system will be different, and the effects generated after construction according to the construction plan will also be different (including effects such as cost and communication quality). And currently, since the construction plan is manually planned by engineers and involves a lot of content, the planning speed of the construction plan is relatively slow and consumes a lot of manpower.

[0006] 2. The more the number of remote units, the larger the 5G network coverage area. At the same time, the communication quality may decline (such as longer latency) and the cost is also relatively large. That is, currently, it is impossible to formulate a 5G multi-carrier power amplifier base station amplification system suitable for the local actual situation according to the needs of operators and users. Summary of the Invention

[0007] To solve the above problems, the present invention provides an optimization method for a 5G multi-carrier power amplifier base station amplification system, adopting the following technical solutions:

[0008] An optimization method for a 5G multi-carrier power amplifier base station amplification system, comprising:

[0009] Step S101, obtaining the estimated cost of the current operator, the geographical information of the area to be built, the personnel distribution map of the area to be built, and the location information of the base station corresponding to the area to be built, where the area to be built is the area where a 5G multi-carrier power amplifier base station amplification system needs to be built currently;

[0010] Step S102, determining the proximal position information of the proximal unit of the 5G multi-carrier power amplifier base station amplification system as the location information of the base station corresponding to the area to be built, and dividing the area to be built based on the personnel distribution map to obtain a plurality of sub-areas to be built, and each sub-area to be built has a corresponding importance level;

[0011] Step S103, sorting the plurality of sub-areas to be built based on the importance level to obtain a first sorting result;

[0012] Step S104, obtaining the construction cost of a single remote unit;

[0013] Step S105, determining the target sub-area according to the first sorting result, where the target sub-area is the sub-area to be built that has not executed Step S106;

[0014] Step S106, determining the number of remote units corresponding to the target sub-area, the remote position information corresponding to each remote unit, and the connection information based on the geographical information of the target sub-area and the proximal position information, generating a sub-construction plan for the target sub-area and storing it;

[0015] Step S107, determining the regional construction cost corresponding to the target sub-area based on the number of remote units, the construction cost, and the connection information;

[0016] Step S108, determining the total regional construction cost of all target sub-areas for which Step S107 has been executed currently based on the regional construction cost, and judging whether the total regional construction cost reaches the estimated cost;

[0017] Step S109, if not, re-executing Step S105 until there is no target sub-area in the first sorting result, and generating a construction plan based on the sub-construction plans stored in Step S106;

[0018] Step S110, if it reaches, generating a construction plan based on the sub-construction plans stored in Step S106.

[0019] In another possible implementation manner, obtaining the personnel distribution map of the area to be constructed includes:

[0020] Obtaining the usage situation of the mobile network within the area to be constructed during a preset time period;

[0021] Generating the personnel distribution map of the area to be constructed based on the usage situation.

[0022] In another possible implementation manner, in the personnel distribution map, it is displayed in a single color, and the darker the color, the larger the population quantity. Based on the personnel distribution map, the area to be constructed is divided to obtain multiple sub-areas to be constructed, and each sub-area to be constructed has a corresponding importance level, including:

[0023] Performing grayscale processing on the personnel distribution map to obtain an initial grayscale image;

[0024] Performing Gaussian filtering on the grayscale image to remove noise and obtain an ultimate grayscale image;

[0025] Using the sobel algorithm to perform edge processing on the ultimate grayscale image, and dividing the area to be constructed into multiple sub-areas to be constructed;

[0026] Calculating the average grayscale value corresponding to each sub-area to be constructed;

[0027] Determining the importance level of each sub-area to be constructed based on the average grayscale value.

[0028] In another possible implementation manner, the geographical information includes building distribution information and signal influence source information. Based on the geographical information of the target sub-area and the proximal position information, determining the number of remote units corresponding to the target sub-area, the remote position information corresponding to each remote unit, and the connection information includes:

[0029] Determining multiple candidate positions from the target sub-area based on the building distribution information, where the candidate positions are positions where the remote units can be established;

[0030] Calculating the coverage area of the remote unit at each candidate position based on the signal influence source information;

[0031] Determining the remote position information for establishing the remote unit from the multiple candidate positions based on the coverage area;

[0032] Determining the number of remote units and the connection information based on the remote position information and the proximal position information.

[0033] In another possible implementation, the signal influence source information includes the signal influence source type and the influence factor corresponding to the signal source type. Calculating the coverage area of the remote unit at any candidate position based on the signal influence source information includes:

[0034] Determine the signal influence source type corresponding to any candidate position;

[0035] Obtain the ideal coverage area of the remote unit in the ideal state;

[0036] Based on the influence factor corresponding to the signal influence source type and the ideal coverage area, calculate the coverage area of the remote unit at the any candidate position.

[0037] In another possible implementation, determining the remote position information for establishing the remote unit from the multiple candidate positions based on the coverage area includes:

[0038] Step Sa, calculate the overlapping area and the exclusive area corresponding to each current candidate position based on the coverage area, and calculate the overlapping rate corresponding to each candidate position based on the overlapping area and the coverage area corresponding to each candidate position. The overlapping area represents the area when the coverage areas corresponding to at least two candidate positions overlap;

[0039] Step Sb, based on the exclusive area, the overlapping rate, a preset overlapping rate threshold, and a preset area threshold, determine whether there is a position to be excluded among the multiple candidate positions. If not, determine the current multiple candidate positions as the remote unit position information. If so, continue to execute Step Sc to Step Sd. The position to be excluded is a candidate position whose exclusive area does not reach the preset area threshold and whose overlapping rate reaches the preset overlapping rate threshold;

[0040] Step Sc, judge the number of the positions to be excluded. If the number is 1, directly exclude the position to be excluded from the multiple candidate positions, and determine the other candidate positions among the multiple candidate positions as the remote position information. If the number is not 1, continue to execute Step Sd;

[0041] Step Sd, determine the position to be excluded with the smallest exclusive area from at least two positions to be excluded, and exclude the position to be excluded, and continue to execute Step Sa.

[0042] In another possible implementation, determining the number and connection information of the remote units based on the remote position information and the proximal position information includes:

[0043] Step Sf, determine the number of the remote units by the number of the determined remote position information;

[0044] Step Sg, determine whether the quantity is greater than 1. If not, directly determine that the connection information of the remote unit is connected to the proximal unit. If so, continue to execute step Sh;

[0045] Step Sh, determine the first distance value corresponding to each remote unit based on the remote position information and the proximal position information, where the first distance value is the distance value between the remote unit and the proximal unit;

[0046] Step Si, sort the remote units based on the first distance value to obtain a third sorting result, where the first distance value of the remote unit at the top of the third sorting result is the smallest;

[0047] Step Sj, calculate the difference between the first distance values corresponding to every two adjacent remote units based on the third sorting result;

[0048] Step Sk, determine whether there is a difference that reaches a preset difference among the differences corresponding to every two adjacent remote units. If not, directly determine that the connection information of the multiple remote units is connected to the proximal unit. If so, continue to execute step Sl;

[0049] Step Sl, perform a level division on the remote units in the third sorting result based on the difference to obtain the level number corresponding to each remote unit and the total level number corresponding to the current target sub-region, where the smaller the level number, the smaller the corresponding first distance value;

[0050] Step Sm, determine that the connection information of the first-level remote unit is connected to the proximal unit, and determine the first-level remote unit as the superior unit, where the first-level remote unit is the remote unit with a level number of one;

[0051] Step Sn, increase the level number corresponding to the superior unit by 1 to obtain the current level number, and determine the remote unit corresponding to the current level number as the unit to be determined;

[0052] Step So, determine the quantity of the superior units;

[0053] Step Sp, determine whether the quantity of the superior units is 1. If so, determine that the connection information of the current unit to be determined is connected to the superior unit;

[0054] Step Sq, if not, calculate the distance between each unit to be determined and each superior unit to obtain a second distance value, where each unit to be determined corresponds to at least two second distance values;

[0055] Step Sr, determine the connection information of each unit to be determined based on the second distance value;

[0056] Step St, determine whether the current level number has reached the total level number;

[0057] Step Su, if so, end the loop;

[0058] Step Sv, if not, re-determine the unit to be determined as the upper-level unit, and continue to execute Step Sn.

[0059] In summary, the present application includes at least one of the following beneficial technical effects:

[0060] 1. Engineers only need to input relevant information (parameters such as estimated cost, geographical information of the area to be built, and construction cost, which are not listed one by one here), and the computer can automatically calculate a construction plan for the area where a 5G multi-carrier power amplifier base station amplification system needs to be built currently, reducing labor costs and improving the planning efficiency of the construction plan;

[0061] 2. According to the estimated cost input by the operator and the actual situation of the area to be built, a construction plan for a 5G multi-carrier power amplifier base station amplification system suitable for the current actual situation is calculated. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 is a schematic flowchart of a method for optimizing a 5G multi-carrier power amplifier base station amplification system in an embodiment of the present application.

[0063] Figure 2 is an exemplary diagram of possible distributions of remote units in a target sub-region in an embodiment of the present application.

[0064] Figure 3 is another exemplary diagram of possible distributions of remote units in a target sub-region in an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0065] The following further describes the present application in detail with reference to the accompanying drawings.

[0066] Those skilled in the art can make modifications to this embodiment without creative contributions according to their needs after reading this specification, but as long as they are within the scope of the claims of the present application, they are protected by the patent law.

[0067] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts fall within the scope of protection of the present application.

[0068] In addition, the term "and / or" in this text is merely a description of the association relationship between associated objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this text generally represents an "or" relationship between the front and back associated objects unless otherwise specified.

[0069] The embodiments of the present application will be further described in detail below in conjunction with the accompanying drawings of the specification.

[0070] As Figure 1 shown, the embodiments of the present application provide an optimization method for a 5G multi-carrier power amplifier base station amplification system. The method includes:

[0071] Step S101, obtain the estimated cost of the current operator, as well as the geographical information of the area to be built, the personnel distribution map of the area to be built, and the location information of the base station corresponding to the area to be built.

[0072] Among them, the area to be built is the area where a 5G multi-carrier power amplifier base station amplification system needs to be built currently.

[0073] For the embodiments of the present application, the estimated cost is the budget that the operator can accept. The area to be built is the area where the base station can provide 4G network but cannot be covered by 5G network. The personnel distribution map characterizes the personnel distribution situation of the current area to be built. Since 4G network coverage has been achieved in the area to be built, the usage situation of the mobile network, that is, the 4G network, in the area to be built within a preset time period can be obtained, and the personnel distribution map of the area to be built can be generated according to the usage situation. The larger the mobile network usage volume in a certain area of the area to be built, the larger the user volume and the greater the network usage demand in that area. Among them, the preset time period is a time period determined in advance by engineers according to requirements, which can be one week or half a month, and is not limited here.

[0074] Step S102, determine the location information of the base station corresponding to the area to be built as the proximal location information of the proximal unit of the 5G multi-carrier power amplifier base station amplification system, and divide the area to be built based on the personnel distribution map to obtain multiple sub-areas to be built, and each sub-area to be built has a corresponding importance level.

[0075] For the embodiments of the present application, in the 5G multi-carrier power amplifier base station amplification system, the proximal unit is installed on the base station. Therefore, the location information of the base station corresponding to the area to be built can be directly determined as the location information of the proximal unit, that is, the proximal location information.

[0076] Furthermore, when covering a 5G network for the area to be built, due to budget issues, it may not be possible to cover the entire area. Therefore, by dividing the area to be built into sub-areas and determining different levels of importance, it is possible to achieve the effect that more people in the area to be built can use the 5G network within the limited budget. Specifically, when generating a population distribution map based on the usage of the mobile network, monochromatic display can be used, where the darker the color, the larger the population and the greater the demand for the 5G network. Therefore, when dividing the area to be built based on the population distribution map to obtain multiple sub-areas to be built, and each sub-area to be built has a corresponding level of importance, it can be specifically achieved through the following methods:

[0077] Perform grayscale processing on the population distribution map to obtain an initial grayscale image. Perform Gaussian filtering on the grayscale image to remove noise and obtain the ultimate grayscale image. Use the Sobel algorithm to perform edge processing on the ultimate grayscale image to divide the area to be built into multiple sub-areas to be built. Calculate the average grayscale value corresponding to each sub-area to be built. The higher the average grayscale value, the fewer the population distribution. Determine the level of importance of each sub-area to be built based on the average grayscale value, so as to achieve the effect of determining the level of importance of each sub-area to be built.

[0078] Step S103: Sort the multiple sub-areas to be built based on the level of importance to obtain the first sorting result. Among them, the greater the level of importance, the more the population distribution. The level of importance of the first sub-area to be built in the first sorting result is the largest.

[0079] Step S104: Obtain the construction cost of a single remote unit.

[0080] Step S105: Determine the target sub-area according to the first sorting result. The target sub-area is the sub-area to be built that has not executed Step S106.

[0081] Step S106: Based on the geographical information and proximal location information of the target sub-area, determine the number of remote units corresponding to the target sub-area, the remote location information and connection information corresponding to each remote unit, generate a sub-construction plan for the target sub-area and store it.

[0082] For the embodiments of the present application, the geographical information includes building distribution information and signal influence source information. The signal influence source information refers to the factors that will affect signal transmission, specifically including the signal influence source type and the influence factor corresponding to the signal influence source type. The signal influence source type refers to the type of object that affects the mobile network signal. The influence factor represents the degree of influence of the object of this signal influence source type on the mobile network signal. The signal influence source type and the influence factor can be set by engineers according to experience. For example, the signal influence source type can be types such as residential buildings, construction areas, and railways, and the influence factor corresponding to each type is formulated by engineers.

[0083] Specifically, the specific implementation process of determining the number of remote units corresponding to the target sub-region, the remote location information corresponding to each remote unit, and the connection information based on the geographical information of the target sub-region and the proximal location information includes:

[0084] Step S1061: Determine a plurality of candidate locations from the target sub-region based on the building distribution information.

[0085] For the embodiments of the present application, the building distribution information characterizes the distribution of buildings. In the present application, the buildings are buildings (including residential buildings, office buildings, shopping malls, etc.), excluding ornamental buildings such as rockeries. The candidate locations are locations where remote units can be established. There are buildings near the candidate locations and the candidate locations can accommodate remote units. Therefore, a plurality of candidate locations are determined from the target sub-region according to the building distribution information, so as to subsequently determine the specific locations for installing remote units from the candidate locations, thereby achieving the effect of narrowing the range of determining the remote location information.

[0086] Step S1062: Calculate the coverage area of the remote unit at each candidate location based on the signal influence source information.

[0087] For the embodiments of the present application, for the sake of clear description, only the calculation process of the coverage area for a single candidate location is described in the embodiments of the present application (the calculation methods for the coverage areas of other candidate locations also adopt the following method and will not be elaborated here). Specifically, it includes:

[0088] Step S10621: Determine the type of signal influence source corresponding to any candidate location.

[0089] For the embodiments of the present application, the type of signal influence source characterizes what type the object that affects the propagation of the mobile network signal around the current candidate location belongs to. Different types correspond to different influences, that is, different influence factors.

[0090] Step S10622: Obtain the ideal coverage area of the remote unit in the ideal state.

[0091] For the embodiments of the present application, the ideal state refers to the state when the remote unit is not affected by any external factors, and the ideal coverage area refers to the area that the signal of the remote unit can cover in the ideal state.

[0092] Step S10623: Calculate the coverage area of the remote unit at any candidate location based on the influence factor corresponding to the type of signal influence source and the ideal coverage area.

[0093] For the embodiments of the present application, specifically, a multiplication operation can be performed on the ideal coverage area and the influencing factors to obtain the actual corresponding coverage area when the remote unit is installed at the candidate location, and then the coverage area can be determined.

[0094] Step S1063, determine the remote location information for establishing the remote unit from multiple candidate locations based on the coverage area.

[0095] For the embodiments of the present application, the specific implementation process of determining the remote location information for establishing the remote unit from multiple candidate locations based on the coverage area includes:

[0096] Step Sa, calculate the overlapping area and the exclusive area corresponding to each current candidate location based on the coverage area, and calculate the overlapping rate corresponding to each candidate location based on the overlapping area and the coverage area corresponding to each candidate location.

[0097] For the embodiments of the present application, the overlapping area represents the area where the coverage areas corresponding to at least two candidate locations overlap, the exclusive area is the area of the coverage area corresponding to the candidate location excluding the overlapping area, and there may be overlapping areas in the coverage area corresponding to each candidate location. When the overlapping area does not exist, the corresponding overlapping area is 0, and when the overlapping area exists, the corresponding overlapping area is the area corresponding to the overlapping area. Therefore, the overlapping area corresponding to each candidate location can be calculated based on the coverage area, and the exclusive area corresponding to each candidate location can be calculated based on the coverage area and the overlapping area. The coverage area corresponding to any candidate location is determined, and then the overlapping area is divided by the coverage area to obtain the overlapping rate corresponding to the candidate location.

[0098] Step Sb, based on the exclusive area, the overlapping rate, a preset overlapping rate threshold, and a preset area threshold, determine whether there are positions to be excluded among the multiple candidate locations. If not, determine the current multiple candidate locations as the remote unit location information. If so, continue to execute steps Sc to Sd.

[0099] For the embodiments of the present application, the preset overlap rate threshold and the preset area threshold are pre-set thresholds, which can be manually set by engineers. The preset overlap rate threshold is a standard indicating a relatively large overlap rate, and the preset area threshold is a standard indicating a relatively small exclusive area. The position to be excluded is a candidate position where the exclusive area does not reach the preset area threshold and the overlap rate reaches the preset overlap rate threshold, indicating that the exclusive area of this candidate position is small and the area overlapping with other candidate positions is large. That is, the area covered by the position to be excluded can be covered by other candidate positions. Therefore, when there is a position to be excluded among multiple candidate positions, it means that there is a position that can be excluded among the current multiple candidate positions. When there is no position to be excluded among multiple candidate positions, it means that there is no position that can be excluded among the current multiple candidate positions, that is, each candidate position needs to be retained. Therefore, these multiple candidate positions can be determined as the distal position information.

[0100] Step Sc, determine the number of the positions to be excluded. If the number is 1, directly exclude the position to be excluded from the multiple candidate positions, and determine the other candidate positions among the multiple candidate positions as the distal position information. If the number is not 1, continue to execute step Sd.

[0101] Step Sd, determine the position to be excluded with the smallest exclusive area from at least two positions to be excluded, and exclude this position to be excluded, and then continue to execute step Sa.

[0102] For the embodiments of the present application, when the number of the positions to be excluded is 1, it means that there is only one area with a relatively small exclusive area and a relatively high overlap rate currently. Therefore, this position to be excluded can be directly excluded from the multiple candidate positions, and at the same time, the other candidate positions among the multiple candidate positions are determined as the distal position information.

[0103] When the number of the positions to be excluded is not 1, that is, at least two, it means that these at least two positions to be excluded can all be excluded. However, since the coverage rate and the exclusive area of other candidate areas around the position to be excluded may change whenever a position to be excluded is excluded, when there are at least two positions to be excluded, only one of them can be excluded. Specifically, since the smaller the exclusive area of the position to be excluded, the smaller the impact on the signal coverage range when this position to be excluded is excluded, the position to be excluded with the smallest exclusive area can be excluded, and then continue to execute steps Sa to Sd until there is no position to be excluded among the candidate positions, so as to achieve the effect of determining the distal position information.

[0104] Step S1064, determine the number of distal units and the connection information based on the distal position information and the proximal position information.

[0105] For the embodiments of the present application, the connection information of the remote unit characterizes which remote unit or proximal unit the remote unit is connected to. The specific implementation process of determining the number of remote units and the connection information based on the remote location information and the proximal location information includes:

[0106] Step Sf, determine the number of remote units according to the number corresponding to the determined remote location information.

[0107] For the embodiments of the present application, since the remote location information is the location where the remote unit is installed, the number corresponding to the determined remote location information can be directly determined as the number of remote units.

[0108] Step Sg, determine whether the number is greater than 1. If not, directly determine that the connection information of the remote unit is connected to the proximal unit. If so, continue to execute step Sh;

[0109] Step Sh, determine the first distance value corresponding to each remote unit based on the remote location information and the proximal location information. The first distance value is the distance value between the remote unit and the proximal unit.

[0110] For the embodiments of the present application, when the number of remote units is 1, it means that only one remote unit needs to be established to cover the current target sub-region, that is, the connection information corresponding to the remote unit can be directly determined as: connected to the proximal unit. When the number of remote units is greater than 1, it means that at least two remote units need to be established to cover the current target sub-region, that is, it is necessary to continue to determine which of the at least two remote units is connected to the proximal unit and which two remote units are connected. Specifically, the distance value between each remote unit and the proximal unit, that is, the first distance value, can be calculated first according to the location information of the proximal unit and the remote location information corresponding to each remote unit, so as to facilitate subsequent classification of at least two remote units according to the first distance value.

[0111] Step Si, sort the remote units based on the first distance value to obtain the third sorting result. The first distance value of the remote unit at the head of the third sorting result is the smallest.

[0112] For the embodiments of the present application, the smaller the first distance value corresponding to the remote unit, the shorter the distance between the remote unit and the proximal unit. When the remote unit is connected to the proximal unit, the signal effect of the coverage area corresponding to the remote unit is better.

[0113] Step Sj, calculate the difference between the first distance values corresponding to every two adjacent remote units based on the third sorting result;

[0114] Step Sk. Determine whether there is a difference reaching a preset difference among the differences corresponding to every two adjacent distal units. If not, directly determine the connection information of multiple distal units as being connected to the proximal unit. If so, continue to execute Step Sl.

[0115] For the embodiments of the present application, as Figure 2 shown, the solid circular shape containing the base station is the coverage area of the base station's 4G network (note: this is an example diagram, and the actual coverage area is not a regular circle). The dashed circular shape is the coverage area of the base station's 5G network. The area where the solid circular shape containing the base station and the dashed circular shape do not intersect is the area to be built. Taking the position information of the proximal unit as the center, multiple circles can be drawn, and multiple rings can be formed between the multiple circles. The difference in the first distance value characterizes the distance of the positions of the multiple distal devices falling into the rings respectively, that is, calculate the difference in the first distance value between every two adjacent distal units in the third sorting result, which is convenient for clarifying whether the effect of directly connecting at least two current distal units to the proximal unit is better, or whether the effect is better when there is a certain distal unit connected to another distal unit among at least two distal units. Specifically, the preset difference is a difference set in advance, which is a standard for indicating whether the first distance values of two adjacent distal units are significantly different. When there is no difference reaching the preset difference among the differences corresponding to every two adjacent distal units in the third sorting result, it indicates that at least two distal units in the current target sub-region can be directly connected to the proximal unit (as Figure 3 shown, the first distance values corresponding to the four distal units A, B, C, and D are relatively close to each other), and when there is a difference (as Figure 2 shown, the distribution of the four distal units A, B, C, and D), it indicates that the effect when there is a certain distal unit connected to another distal unit among at least two distal units in the current target sub-region is better than the effect of directly connecting to the proximal unit. Here, the effect includes the comprehensive effect reflected by cost and signal quality. For example, the first distance value of distal unit D is 400m, the first distance value of distal unit B is 800m, and the distance value between distal unit B and distal unit D is only 200m. If distal unit B and distal unit D are directly connected to the proximal unit at this time, the connection cost of distal unit B will be relatively large, and the signal quality of distal unit B is also related to the signal transmission distance. The longer the distance, the greater the time delay, that is, the worse the signal effect. If distal unit B is connected to distal unit D, the connection cost of distal unit B is greatly reduced, and the signal transmission distance of distal unit B is only 600m. The time delay of distal unit B is related to the distance of 600m and the process of distal unit D forwarding the signal. That is, from the comprehensive effect, the effect of connecting distal unit B to distal unit D is better than the effect of connecting to the proximal unit. Therefore, when there is a difference reaching the preset difference, it is necessary to continue to execute the following Steps Sl to Sv to determine the connection information of each distal unit.

[0116] Step S1, based on the difference, classify the remote units in the third sorting result to obtain the level number corresponding to each remote unit and the total level number corresponding to the current target sub-region. The smaller the level number, the smaller the corresponding first distance value.

[0117] For the embodiments of the present application, when performing the classification, specifically, determine the difference reaching the preset difference as the target difference, and the number of target differences is at least one. Then, mark the remote unit with the smallest first distance value among the two remote units corresponding to each target difference and the last remote unit in the third sorting result as the classification unit, sort at least one classification unit based on the first distance value of the classification unit, and determine the serial number of each classification unit as the level number of each classification unit and determine the serial number of the last classification unit as the total level number. Determine whether there are other classification units before the classification unit in the third sorting result. If not, determine the level number of the classification unit as the level number of other remote units before the classification unit. If so, determine the level number of the classification unit as the level number of other remote units between the classification unit and the previous classification unit.

[0118] For easy understanding, an example is used for explanation. Assume that the current third sorting result is: remote unit A, remote unit C, remote unit D, and remote unit B. Among them, the first distance value of remote unit A is 329m, the first distance value of remote unit C is 400m, the first distance value of remote unit D is 800m, and the first distance value of remote unit B is 1120m. The difference AC is 71m, the difference CD is 400m, and the difference DB is 320m. Assume that the preset difference is 200m, that is, the differences reaching the preset difference are the difference CD and the difference DB at this time. Therefore, remote unit C, remote unit D, and remote unit B can be determined as the classification units, and the classification units are sorted to obtain remote unit C, remote unit D, and remote unit B. Then, since the serial number of remote unit C is one, the level number of remote unit C can be determined as level one. By analogy, the level numbers of remote unit D and remote unit B are obtained as level two and level three respectively, and level three is determined as the total level number. Then, determine that there are no other remote units belonging to the classification unit before remote unit B in the third sorting result. Therefore, the level number of remote unit A before remote unit C can be directly determined as level one. Then, there is a remote unit belonging to the classification unit before remote unit D, that is, remote unit C. Therefore, the level number of other remote units between remote unit C and remote unit D in the third sorting result is determined as level two. By analogy, the level number of each remote unit and the total level number of the target sub-region are determined.

[0119] Specifically, as in the above example, when there is no other distal unit between two hierarchical units, it indicates that there is only one distal unit in the level number to which the hierarchical unit with the larger first distance value among the two hierarchical units belongs.

[0120] Step Sm: Determine the connection information of the first-level distal unit as being connected to the proximal unit, and determine the first-level distal unit as the superior unit, where the first-level distal unit is a distal unit with a level number of one.

[0121] For the embodiment of the present application, continuing with the above example, determine the connection information of distal unit A and distal unit C as being connected to the proximal unit. At this time, the superior units include distal unit A and distal unit C.

[0122] Step Sn: Increase the level number corresponding to the superior unit by 1 to obtain the current level number, and determine the distal unit corresponding to the current level number as the unit to be determined.

[0123] For the embodiment of the present application, continuing with the above example, the current level number is two, and determine the second-level distal unit, that is, distal unit D, as the unit to be determined.

[0124] Step So: Determine the number of superior units;

[0125] Step Sp: Determine whether the number of superior units is 1. If so, determine that the connection information of the current unit to be determined is connected to the superior unit;

[0126] Step Sq: If not, calculate the distance between each unit to be determined and each superior unit to obtain a second distance value, where each unit to be determined corresponds to at least two second distance values.

[0127] For the embodiment of the present application, when the number of superior units is 1, it indicates that the connection relationship of the unit to be determined can be directly determined as being connected to this superior unit. When the number of superior units is not 1, it indicates that it is necessary to determine which superior unit the unit to be determined is specifically connected to. Therefore, it is necessary to determine whether the number of current superior units is 1, so as to be able to determine the connection relationship of the unit to be determined according to the judgment result. Continuing with the above example, the superior units include distal unit A and distal unit C, that is, the number of superior units is 2. Therefore, it is necessary to continue to determine whether the unit to be determined, that is, distal unit D, needs to be connected to distal unit A or distal unit C. Specifically, the distance value between distal unit D and distal unit A and the distance value between distal unit D and distal unit C can be calculated, that is, calculate the second distance value corresponding to distal unit D and determine the connection information of distal unit D according to the second distance value. Assume that the distance value between distal unit D and distal unit A is 300m, and the distance value between distal unit D and distal unit C is 200m, that is, the second distance values corresponding to distal unit D are 300m and 200m.

[0128] Step Sr, determine the connection information of each unit to be determined based on the second distance value.

[0129] For the embodiments of the present application, continuing with the above example, the primary unit corresponding to the minimum value in the second distance value is determined as the remote unit connected to the remote unit D, that is, the connection information of the remote unit D is connected to the remote unit C.

[0130] Step St, determine whether the current level number reaches the total level number.

[0131] Step Su, if so, end the loop;

[0132] Step Sv, if not, re-determine the unit to be determined as the upper-level unit and continue to execute Step Sn.

[0133] For the embodiments of the present application, the current level number represents the level number of the remote units whose connection information has been determined currently, and the total level number represents the highest level number corresponding to the remote units in the target sub-region. When the current level number reaches the total level number, it indicates that there are no longer remote units in the current target sub-region whose connection information has not been determined, that is, the loop can be ended; when the current level number does not reach the total level number, it indicates that there are still remote units in the current target sub-region whose connection information has not been determined, that is, it is necessary to continue to determine the connection information for the remote units whose connection information has not been determined. Specifically, the unit to be determined can be re-determined as the upper-level unit. Continuing with the above example, that is, the upper-level unit is the remote unit D at this time, and then continue to execute the process from Step Sn to Step Sv until there are no remote units in the target sub-region whose connection information has not been determined.

[0134] Step S107, determine the regional construction cost corresponding to the target sub-region based on the number of remote units, construction cost, and connection information.

[0135] For the embodiments of the present application, it specifically includes: determining the connection cost of the target sub-region based on the connection information. Specifically, an engineer can obtain the connection cost corresponding to the unit connection distance, that is, the unit connection cost, and then determine the connection distance of the target sub-region based on the connection information, so as to multiply the connection distance by the unit connection cost to obtain the connection cost of the target sub-region. At the same time, multiply the number of remote units by the construction cost to obtain the cost of establishing the remote units, and sum the obtained cost of establishing the remote units and the connection cost to further obtain the regional construction cost of the target sub-region.

[0136] Step S108, determine the total regional construction cost of all target sub-regions for which Step S107 has been executed currently based on the regional construction cost, and determine whether the total regional construction cost reaches the expected cost;

[0137] Step S109, if not reached, re - execute Step S105 until there is no target sub - region in the first sorting result, and generate a construction plan based on the sub - construction plans stored in Step S106;

[0138] Step S110, if reached, generate a construction plan based on the sub - construction plans stored in Step S106.

[0139] For the embodiments of the present application, the total regional construction cost is the cost of all the target sub - regions that have been calculated currently. When the total regional construction cost has not reached the estimated cost, it means that remote units can still be established currently. Then re - execute the process from Step S105 to Step S110 until no target sub - region can be determined from the first sorting result, and then generate a construction plan according to the sub - construction plans stored in Step S106; when the total regional construction cost reaches the estimated cost, it means that the cost of the target sub - regions that have been constructed currently has reached the budget, that is, remote units cannot be continued to be constructed for the area to be constructed. Therefore, a construction plan can be directly generated according to the sub - construction plans stored in Step S106, so as to achieve the effect of efficiently planning a construction plan.

[0140] Further, in addition to the parameters involved in Step S106 in the construction plan, it may also include the total regional construction cost, that is, the actual required cost corresponding to this construction plan.

[0141] The above are only some implementation manners of the present application. It should be noted that for those of ordinary skill in the art in this technical field, without departing from the principle of the present application, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present application.

Claims

1. A 5G multi-carrier frequency power amplifier base station amplification system optimization method, characterized in that: include: Step S101, obtaining the estimated cost of the current operator and the geographical information of the area to be constructed, the personnel distribution map of the area to be constructed, and the location information of the base station corresponding to the area to be constructed, wherein the area to be constructed is the area where the 5G multi-carrier frequency power amplifier base station amplification system is currently required to be constructed; Step S102, determining the location information of the base station corresponding to the area to be constructed as the proximal location information of the proximal unit of the 5G multi-carrier frequency power amplifier base station amplification system, and dividing the area to be constructed based on the personnel distribution map to obtain a plurality of sub-areas to be constructed, and each sub-area to be constructed has a corresponding importance level; Step S103, sorting the multiple sub-areas to be constructed based on the importance levels to obtain a first sorting result; Step S104, obtaining the construction cost of a single remote unit; Step S105, determining a target sub-region according to the first sorting result, wherein the target sub-region is a sub-region to be constructed that has not been subjected to step S106; Step S106, determining the number of remote units corresponding to the target sub-area, the remote position information corresponding to each remote unit, and the connection information based on the geographic information of the target sub-area and the proximal position information, generating and storing a sub-construction plan for the target sub-area; Step S107, determining the regional construction cost corresponding to the target sub-region based on the number of the remote units, the construction cost and the connection information; Step S108, determining the total regional construction cost of all target sub-regions that have currently executed step S107 based on the regional construction cost, and judging whether the total regional construction cost reaches the estimated cost; Step S109: if not reached, re-execute step S105 until the target sub-area does not exist in the first sorting result, and generate a construction plan based on the sub-construction plan stored in step S106; Step S110, if reached, generating a construction plan based on the sub-construction plan stored in step S106; The geographic information includes building distribution information and signal influencing source information. The number of remote units corresponding to the target sub-area, the remote location information corresponding to each remote unit, and the connection information are determined based on the geographic information of the target sub-area and the proximal location information, including: Determine a plurality of candidate locations from the target sub-area based on the building distribution information, the candidate locations being locations where the remote unit can be established; Calculate the coverage area of ​​the remote unit at each candidate location based on the signal influencing source information; determining remote location information for establishing a remote unit from the plurality of candidate locations based on the coverage area; Determining the number and connection information of remote units based on the remote location information and the near-end location information; The signal influencing source information includes a signal influencing source type and an influencing factor corresponding to the signal source type. Calculating the coverage area of ​​the remote unit at any candidate position based on the signal influencing source information includes: Determine the type of signal influencing source corresponding to any candidate position; Obtaining the ideal coverage area of ​​the remote unit in an ideal state; The coverage area of ​​the remote unit at any of the candidate positions is calculated based on the impact factor corresponding to the signal impact source type and the ideal coverage area.

2. According to claim 1, a 5G multi-carrier frequency power amplifier base station amplification system optimization method is characterized in that: Obtaining a personnel distribution map of the area to be constructed, including: Obtaining usage of the mobile network in the area to be constructed within a preset time period; A personnel distribution map of the area to be constructed is generated based on the usage situation.

3. A 5G multi-carrier frequency power amplifier base station amplification system optimization method according to claim 1, characterized in that: The personnel distribution map is displayed in monochrome, and the darker the color, the larger the population. Based on the personnel distribution map, the area to be constructed is divided to obtain multiple sub-areas to be constructed, and each sub-area to be constructed has a corresponding importance level, including: grayscale the personnel distribution map to obtain an initial grayscale image; Performing Gaussian filtering on the grayscale image to remove noise and obtain a final grayscale image; Using the Sobel algorithm to perform edge processing on the ultimate grayscale image, dividing the area to be constructed into a plurality of sub-areas to be constructed; Calculate the average grayscale value corresponding to each sub-area to be constructed; The importance level of each sub-area to be constructed is determined based on the average gray value.

4. A 5G multi-carrier frequency power amplifier base station amplification system optimization method according to claim 1, characterized in that: The step of determining remote location information for establishing a remote unit from the plurality of candidate locations based on the coverage area comprises: Step Sa, calculating the overlapping area and the exclusive area corresponding to each current candidate position based on the coverage area, and calculating the overlapping rate corresponding to each candidate position based on the overlapping area and the coverage area corresponding to each candidate position, wherein the overlapping area represents the area when the coverage areas corresponding to at least two candidate positions overlap; Step Sb, based on the exclusive area, the overlap rate, the preset overlap rate threshold and the preset area threshold, determining whether there is a position to be eliminated among the multiple candidate positions, if not, determining the current multiple candidate positions as the remote unit position information, if yes, continuing to execute steps Sc to step Sd, the position to be eliminated is a candidate position whose exclusive area does not reach the preset area threshold and whose overlap rate reaches the preset overlap rate threshold; Step Sc, determining the number of the positions to be eliminated. If the number is 1, directly eliminating the positions to be eliminated from the multiple candidate positions, and determining that other candidate positions in the multiple candidate positions are remote position information. If the number is not 1, continuing to execute step Sd; Step Sd: determine the position to be eliminated with the smallest exclusive area from at least two positions to be eliminated, eliminate the position to be eliminated, and continue to execute step Sa.

5. A 5G multi-carrier frequency power amplifier base station amplification system optimization method according to claim 1, characterized in that: Determining the number and connection information of remote units based on the remote location information and the near-end location information includes: Step Sf, determining the number of the remote units according to the number of remote location information determined; Step Sg, determining whether the number is greater than 1, if not, directly determining that the connection information of the remote unit is connected to the near-end unit, if yes, continuing to execute step Sh; Step Sh, determining a first distance value corresponding to each remote unit based on the remote position information and the near-end position information, wherein the first distance value is a distance value between the remote unit and the near-end unit; Step S1, sorting the remote units based on the first distance values ​​to obtain a third sorting result, wherein the remote unit at the first position in the third sorting result has the smallest first distance value; Step Sj, based on the third sorting result, calculating the difference between the first distance values ​​corresponding to every two adjacent remote units; Step Sk, determining whether there is a difference reaching a preset difference among the differences corresponding to each two adjacent remote units, if not, directly determining the connection information of the plurality of remote units as being connected to the near-end unit, if yes, continuing to execute step S1; Step S1, classifying the remote units in the third sorting result based on the difference value to obtain the level number corresponding to each remote unit and the total level number corresponding to the current target sub-region, wherein the smaller the level number, the smaller the corresponding first distance value; Step Sm, determining the connection information of the first-level remote unit to be connected to the proximal unit, and determining the first-level remote unit as the upper-level unit, the first-level remote unit being a remote unit with a level number of one; Step Sn, increasing the level number corresponding to the upper level unit by 1 to obtain the current level number, and determining the remote unit corresponding to the current level number as the unit to be determined; Step So, determining the number of the upper level units; Step Sp, determining whether the number of the upper-level unit is 1, and if so, determining that the connection information of the current unit to be determined is connected to the upper-level unit; Step Sq: if not, then calculate the distance between each unit to be determined and each upper-level unit to obtain a second distance value, wherein each unit to be determined corresponds to at least two second distance values; Step Sr, determining the connection information of each to-be-determined unit based on the second distance value; Step St, determining whether the current level number reaches the total level number; Step Su, if yes, then the loop ends; Step Sv: If not, the unit to be determined is re-determined as the upper-level unit, and step Sn is continued.

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