CN114125866A

CN114125866A - Neighbor cell planning method and device, computer equipment and storage medium

Info

Publication number: CN114125866A
Application number: CN202111188508.5A
Authority: CN
Inventors: 李苑添; 古炳松; 王飞; 高利府; 李鸿运; 李杰坤
Original assignee: China ComService Construction Co Ltd
Current assignee: China ComService Construction Co Ltd
Priority date: 2021-10-12
Filing date: 2021-10-12
Publication date: 2022-03-01

Abstract

The application relates to a method and a device for planning adjacent cells, computer equipment and a storage medium. The method comprises the following steps: acquiring an overlapping area of geographic positions covered by signals of a first cell and a second cell; acquiring a plurality of area units corresponding to the overlapping area, wherein the ranges of different area units are different; in the overlapping area, acquiring the number of each area unit, and calculating based on the number and the range of each area unit to obtain the area of the overlapping area; and obtaining the area comparison result of the overlapping area and the first cell, generating an overlapping coefficient corresponding to the area comparison result, comparing the overlapping coefficient with a corresponding threshold value, and determining that the second cell is the adjacent cell of the first cell. By adopting the method, the signal overlapping region is divided into a plurality of area units which are easy to calculate, the calculated amount can be reduced to a certain degree, the fine granularity of the division can be controlled, and the size of the calculated amount can be freely controlled. Therefore, the calculation cost is low, the accuracy is high, and the adjacent cell planning efficiency is high.

Description

Neighbor cell planning method and device, computer equipment and storage medium

Technical Field

The present application relates to the field of wireless communication technologies, and in particular, to a method and an apparatus for planning neighboring cells, a computer device, and a storage medium.

Background

With the development of information communication technology, 5G communication technology has appeared, and 5G technology has the characteristics of large bandwidth, low time delay and wide connection, and in order to ensure the network quality of 5G, it is necessary to plan the neighboring cell of a cell, which is important planning data in cell data, and when the neighboring cell is judged, whether an overlapping area of signal coverage exists between the planning cell and the neighboring cell is considered.

In the conventional technology, when a neighboring cell is determined, since an overlapping area covered by a signal changes with different cell coverage scenes, basic parameters, and station positions, calculation methods such as an integral method, a sipson method, and a coordinate calculation method are often used when calculating the overlapping area.

However, the current 5G base stations are close to millions, the number of cells is greatly increased, and if the traditional method is used, the calculation amount is excessively consumed, and the planning speed is excessively slow.

Disclosure of Invention

In view of the foregoing, it is desirable to provide a neighbor cell planning method, apparatus, computer device, and storage medium capable of reducing the amount of computation.

A first aspect of the present application provides a method for planning a neighboring cell, where the method includes:

acquiring an overlapping area of geographic positions covered by signals of a first cell and a second cell;

acquiring a plurality of area units corresponding to the overlapping area, wherein the ranges of different area units are different;

in the overlapping area, acquiring the number of each area unit, and calculating based on the number and the range of each area unit to obtain the area of the overlapping area;

and obtaining an area comparison result of the overlapping area and a first cell, generating an overlapping coefficient corresponding to the area comparison result, comparing the overlapping coefficient with a corresponding threshold value, and determining that the second cell is a neighboring cell of the first cell.

A second aspect of the present application provides a neighbor cell planning apparatus, where the apparatus includes:

the segmentation module is used for acquiring an overlapping area of the geographic positions of the first cell and the second cell;

the unit obtaining module is used for obtaining a plurality of area units corresponding to the overlapping area, and the ranges of the different area units are different;

the area calculation module is used for acquiring the number of each area unit in the overlapping area, and calculating based on the number and the range of each area unit to obtain the area of the overlapping area;

and the neighbor cell judging module is used for acquiring a comparison result of the area of the overlapping area and the coverage area of the first cell, generating an overlapping coefficient corresponding to the comparison result, comparing the overlapping coefficient with an overlapping coefficient threshold value, and determining that the second cell is the neighbor cell of the first cell.

A third aspect of the application provides a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:

A fourth aspect of the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:

According to the adjacent cell planning method, the adjacent cell planning device, the computer equipment and the storage medium, the overlapping area of the geographic positions covered by the signals of the first cell and the second cell is obtained; acquiring a plurality of area units corresponding to the overlapping area, wherein the ranges of different area units are different; acquiring the number of each area unit in the overlapping area, and calculating based on the number and the range of each area unit to obtain the area of the overlapping area; the signal overlapping area can be divided into a plurality of area units which are easy to calculate, the calculation amount can be reduced to a certain degree, the fine granularity of the division can be controlled by setting the number of the area units, the size of the calculation amount can be freely controlled, furthermore, an overlapping coefficient is generated according to the area comparison result of the overlapping area and the first cell, the large data is mapped into smaller data, the area of the second cell can not be calculated, the data amount is reduced, finally, the overlapping coefficient is compared with a corresponding threshold value, the mapped small data is compared, the data amount is further reduced, and whether the second cell is the adjacent cell of the first cell or not is easier to judge. Therefore, the calculation cost is low, the accuracy is high, and the adjacent cell planning efficiency is high.

Drawings

Fig. 1 is an application environment diagram of a neighbor cell planning method in an embodiment;

fig. 2 is a schematic flow chart of a method for planning a neighboring cell in an embodiment;

FIG. 3 is a flow diagram illustrating the process of obtaining an overlap region according to one embodiment;

fig. 4 is a flowchart illustrating obtaining a coverage area of a first cell in an embodiment;

fig. 5 is a schematic flowchart of acquiring basic data of a first cell according to another embodiment;

FIG. 6 is a schematic diagram of a process for obtaining multiple units of area in one embodiment;

FIG. 7 is a diagram illustrating obtaining ranges of a first cell and a second cell in an embodiment;

FIG. 8 is a schematic illustration of a unit of area corresponding to an overlap region in one embodiment;

FIG. 9 is a schematic diagram of the calculation of the overlap region of FIG. 7;

fig. 10 is a flowchart illustrating a process of determining that a second cell is a neighboring cell of a first cell in an embodiment;

fig. 11 is a flowchart illustrating a method for planning a neighboring cell in another embodiment;

fig. 12 is a block diagram illustrating a configuration of a device for planning a neighboring cell in an embodiment;

FIG. 13 is a diagram illustrating an internal structure of a computer device according to an embodiment.

Detailed Description

At present, the domestic 5G terminal connection number reaches 2.85 hundred million, and the global occupation of the connection scale is over 85 percent. Moreover, about 82 thousands of 5G base stations are built domestically, and continuous coverage of a heavy spot area is realized. 4G changes life, 5G changes society, and 5G can enable industry verticals, especially for uRLLC application scenarios (ultra-high reliability and ultra-low time traffic). Since good network quality is a basic requirement for ensuring low delay, the network quality needs to be continuously improved, and the neighboring cell planning is one of important contents for improving the network quality, and the mobility indexes such as switching performance, call drop rate and the like are directly influenced by the quality of the neighboring cell planning.

The traditional adjacent region planning generally adopts a manual mode, and the manual mode has high cost and low efficiency. The 5G base stations belong to densely distributed base stations, and the higher frequency spectrum determines the short plate of the coverage distance, so more base stations are needed. With the increasing network scale, the workload of planning the neighboring cells of a large number of base station devices is enormous, and operators are required to pay more manpower and financial resources. Therefore, a neighbor cell planning algorithm is needed to save cost, ensure accuracy and further improve neighbor cell planning efficiency.

Specifically, most of the existing neighbor cell planning is based on the judgment that the distance between two-dimensional geographic topology base stations is the basis, and cells within a certain range are all used as neighbor cells. At present, the problems of a complex network structure with coexisting multi-frequency bands, insufficient adjacent cell configuration, incapability of automatically establishing an X2 link, excessive pilot frequency measurement frequency points, disordered switching relation, untimely switching and the like exist. By using the adjacent cell planning modes, on one hand, the signaling load is increased due to too much switching, on the other hand, the measurement precision is reduced and the measurement time delay is increased due to the limitation of the terminal measurement capability, meanwhile, more signals cause interference, call drop easily occurs, the improvement of the speed is affected, and the network performance perceived by a user is affected.

On the premise, with the continuous improvement of the user experience attention degree of an operator, the adjacent cell planning is switched from 'complex-guarantee switching' to 'simple-multilayer network adjacent cell simplification', on one hand, normal switching among cells is guaranteed, and on the other hand, the user is guaranteed to obtain the best service quality. Based on this, the main purpose of the present invention is to provide a more accurate neighbor planning algorithm, and reduce the occurrence of redundant neighbors.

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The neighbor cell planning method provided by the application can be applied to the application environment shown in fig. 1. The terminal 102 is connected to a cell, and communicates with the base station 103 through the cell, and the base station 103 communicates with the network subsystem 104. The terminal 102 may be, but is not limited to, various cell phones, vehicle computers, and portable wearable devices, and the network subsystem 104 includes a Mobile Switching Center (MSC), among others.

The network subsystem 104 acquires an overlapping area of the geographical positions covered by the signals of the first cell and the second cell, acquires a plurality of area units corresponding to the overlapping area, acquires the number of each area unit in the overlapping area, and calculates based on the number and the range of each area unit to obtain the area of the overlapping area; and obtaining the area comparison result of the overlapping area and the first cell, generating an overlapping coefficient corresponding to the area comparison result, comparing the overlapping coefficient with a corresponding threshold value, and determining that the second cell is the adjacent cell of the first cell.

In an embodiment, as shown in fig. 2, a method for planning a neighboring cell is provided, which is described by taking the method as an example when the method is applied to the network subsystem 104 in fig. 1, and includes the following steps:

step S202, an overlapping area of the geographic positions covered by the signals of the first cell and the second cell is obtained.

The first cell and the second cell may be considered as cells, which are referred to as cells or cells for short, and each cell serves a corresponding communication area, and the terminals of the users in the area are accessed into the communication network. The network corresponding to the cell may be a cellular base station positioning network, i.e. a GSM network, which is called Global System for Mobile communications in english; the GSM network has the advantages of high positioning speed, low cost, low power consumption, indoor availability and the like.

Geographical location refers to the spatial relationship between an object and other objects on the surface of the earth. The geographic location is a special attribute of a geographic object, and is one of the signs of the geographic object. The geographic location may be an absolute location that is used to express an indication that the tagged item does not change in space, such as: latitude and longitude in a geographic coordinate system or a location in other coordinate systems. The geographic position can be a relative position, which is a notation that expresses the position of an object through the relationship between a reference object and other objects. For example: the distance in a certain direction between the first cell and the second cell.

Optionally, the method for representing the geographic position, such as the coordinate of the geographic position, may be used to determine the range covered by the signals of the first cell and the second cell, and then obtain the overlapping area of the geographic position according to the intersection of the ranges covered by the signals of the first cell and the second cell; the signal coverage of the first cell and the second cell can be tested directly through the measuring equipment; the overlapping area can also be estimated by some function mapping according to the base station coordinates and some parameters of the first cell and the second cell, respectively.

Optionally, the overlapping area is an irregular figure, and the coverage area changes with the cell coverage scene, the base parameter, the site location, and other factors, and at this time, the area needs to be recalculated.

There is a possibility that the area of the overlapping area changes due to factors affecting signal propagation such as a change in signal coverage of a cell. The influence factor of signal propagation may be various, and it may be a change of a base station to which one or more cells belong, an interference facility such as some buildings or antennas newly added in the range of the cell, or signal interference generated by some devices outside the range of the cell. Optionally, since the base station itself is composed of components such as antennas, each component may include components such as screws, and each component may have different factors such as structure or material, even after a certain component of the base station is repaired or replaced, the range of the cell corresponding to the base station may be changed, so that the area of the overlapping region is likely to be changed and is likely to be irregular, and calculating the area of the overlapping region requires a large amount of calculation, which requires a large amount of calculation cost.

Step S204, a plurality of area units corresponding to the overlapping area are obtained, and the ranges of different area units are different.

An area unit, which is a basic unit for calculating an area; it may be a first area unit, such as a square meter or hectare, which is a commonly used conventional calculation unit for reducing the amount of calculation and/or storage resources to obtain an area unit. And the area unit is preferably: and a second area unit corresponding to the overlapping region, wherein the second area unit is a special calculation unit, the shape of the second area unit corresponds to the shape of the overlapping region, and the second area unit is calculable, so that the calculation resources of calculation through the area unit are reduced, and/or the calculation accuracy is improved. The steps of generating the special area unit are various, and can be obtained according to historical data, mapping relations such as certain functions and the like, or generated after being divided by a regular graph corresponding to the signal overlapping region.

Optionally, after the regular pattern corresponding to the signal overlapping region is divided, a sub-region is obtained, and the sub-region is used as an area unit. Optionally, if a certain sub-region includes an overlapping region boundary and does not meet a preset precision threshold, the sub-region is taken as a regular graph of the next iterative segmentation process to obtain a sub-region of the next level; if the subarea of a certain level comprises an overlapping area boundary and meets a preset precision threshold, obtaining each area unit; in short, the regular graph is iteratively divided until the sub-regions including the boundaries of the overlapping regions meet a preset precision threshold, and each area unit is obtained.

Different from the traditional rasterization technology, in order to freely control the relationship between the calculated amount and the precision, various area units can be used for calculation, the range of different area units is different, and the calculated amount can be reduced to a certain extent by using a plurality of area units.

In step S206, the number of each area unit is acquired in the overlap region, and calculation is performed based on the number and range of each area unit to obtain the area of the overlap region.

From the area calculation of the overlapping area, in one or more overlapping areas, the number of each area unit with the same range can be counted, then the product of the number of the area units with the same range and the range is calculated to obtain the area of each layer, and then the sum of the areas of each layer is calculated to obtain the area of the overlapping area. If each area unit is m_nAnd the range of each area unit is S_nThen, thenObtaining the area S of the overlapped region_OverlapCan be expressed as:

S_overlap＝m₀×S₀+m₁×S₁+m₂×S₂+m₃×S₃+……+m_n×S_n

From the viewpoint of whether a certain area unit is included in the calculation category, if a certain sub-area is completely included in the signal overlap area, it is calculated. After the minimum sub-area is divided, if the proportion of the minimum sub-area occupied by the boundary of the overlapping area is greater than the corresponding threshold value, the area unit is taken as being included in the calculation category, otherwise, the area unit is not included in the calculation category; for example, after the division into the minimum sub-regions, if the boundary of the overlapping region occupies the minimum sub-region in a proportion of more than 50%, the area unit is taken as the calculation category, and otherwise, the area unit is not taken as the calculation category.

Step S208, obtaining the area comparison result of the overlapping area and the first cell, generating an overlapping coefficient corresponding to the area comparison result, comparing the overlapping coefficient with a corresponding threshold value, and determining that the second cell is the adjacent cell of the first cell.

The result of the area comparison is a structure obtained by some data processing using the area comparison as an execution condition, and may be the overlap coefficient itself or a mapping relation with the overlap coefficient. Taking the area comparison as an execution condition, and directly calculating the ratio in some data processing modes; other complex functional relationships may also be used. When the ratio is calculated, if the ratio of the area of the overlapping area to the area of the first cell is taken as an overlapping coefficient, and the overlapping coefficient is larger than a neighboring cell judgment threshold value, the second cell is determined to be the neighboring cell of the first cell; and if the area ratio of the first cell to the overlapping area is taken as the overlapping coefficient, and the overlapping coefficient is smaller than the adjacent cell judgment threshold value, the second cell is determined to be the adjacent cell of the first cell.

Specifically, the distance between two-dimensional geographic topology base stations is calculated through an area unit to obtain an overlapping area, an overlapping coefficient is generated according to the overlapping area, and then whether the adjacent cell is suitable or not is judged by combining the overlapping coefficient and a corresponding threshold value, so that more accurate adjacent cell planning is achieved, and the perception of a user is guaranteed.

In the method, the device, the computer equipment and the storage medium for planning the adjacent cell, the overlapping area of the geographic positions covered by the signals of the first cell and the second cell is obtained; acquiring a plurality of area units corresponding to the overlapping area, wherein the ranges of different area units are different; in the overlapping area, acquiring the number of each area unit, and calculating based on the number and the range of each area unit to obtain the area of the overlapping area; the regular-shaped area corresponding to the signal overlapping area can be divided into a plurality of area units which are easy to calculate, the calculated amount can be reduced to a certain degree, the fine granularity of the division can be controlled by setting the number of the area units, the size of the calculated amount can be freely controlled, furthermore, an overlapping coefficient is generated according to the area comparison result of the overlapping area and the first cell, the large data is mapped into smaller data, the data amount is reduced, finally, the overlapping coefficient is compared with a corresponding threshold value, the data amount is further reduced, and whether the second cell is the adjacent cell of the first cell or not is easier to judge. Therefore, the calculation cost is low, the accuracy is high, and the adjacent cell planning efficiency is high.

In one embodiment, as shown in fig. 3, focusing on obtaining the overlap area by calculation, obtaining the overlap area in the geographic location covered by the signals of the first cell and the second cell comprises:

step 302, obtaining a center frequency and a path loss of the first cell, and calculating based on the center frequency and the path loss to obtain a coverage area of the first cell, where the coverage area of the first cell includes a boundary shape of the first cell.

The center frequency may also be referred to as the operating frequency. The center frequency of the first cell is used for representing the bandwidth of the radio frequency pulse emitted by the base station antenna of the first cell. Optionally, when the model uma is used, the range of the center frequency is 0.5 Ghz-100 Ghz, and in this range, the signal transmission effect can be ensured.

The path loss, which may be referred to as signal path loss or propagation loss, refers to the loss generated by the propagation of signal waves in space, and may be caused by the radiation spread of the transmission power and the propagation characteristics of the channel, and may reflect the change of the mean value of the received signal power in the macro range. The path loss may be obtained by data retrieval through a network or a database, or may be calculated according to one or more outdoor and indoor propagation models and common parameter data such as antenna parameters and device parameters. The outdoor and indoor propagation models include Okumura-Hata model, COST231-Hata model, Uma-NLSO propagation model and the like.

In one embodiment, the signal coverage of the first cell includes a sector area, and/or a circular area, and if the calculation of the sector area is performed, a variety of means may be used, one of which is as follows: obtaining the signal coverage of the first cell based on the center frequency and the path loss comprises the following steps:

acquiring a wireless propagation scene, wherein the wireless propagation scene comprises a line-of-sight scene and a non-line-of-sight scene;

determining a path loss expression which corresponds to the wireless propagation model and the wireless propagation scene together according to the wireless propagation model and the wireless propagation scene;

determining a wireless distance mapping relation through a path loss expression corresponding to a wireless propagation model and a wireless propagation scene together, and determining a signal propagation distance corresponding to the central frequency and the signal path loss according to the wireless distance mapping relation, wherein the signal propagation distance is a linear distance between a base station antenna and a first cell boundary antenna;

and acquiring a horizontal power angle of the antenna of the first cell, and calculating according to the signal propagation distance and the horizontal power angle to obtain the signal coverage of the first cell. Optionally, the signal coverage area of the first cell includes a sector area, the center of which is the base station antenna of the first cell, the center angle of which is the horizontal power angle of the antenna, and the diameter of which is the calculated signal propagation distance. Optionally, the signal coverage of the first cell includes: a circular area with a diameter at a predetermined distance that is less than the signal propagation distance.

In an alternative embodiment, after many experiments, when the antenna is 25m high, the radio distance mapping relationship may be as follows:

Pathloss＝13.54+39.08log₁₀(d_3D)+20log₁₀(f_c)；

wherein d is_3DIs the linear distance, f, between the base station antenna and the first cell border antenna_cIs the center frequency of the first cell; pathloss is the path loss.

In an alternative embodiment, after many experiments, when the antenna is 35m high, the radio distance mapping relationship may be as follows:

Pathloss＝3.63+38.63log₁₀(d_3D)+20log₁₀(f_c)

wherein d is_3DIs the linear distance, f, between the base station antenna and the first cell border antenna_cIs the center frequency of the first cell; pathloss is the signal path loss.

Step 304, a coverage area of the second cell is obtained, the coverage area of the second cell includes a boundary shape of the second cell.

If the second cell is planned and is playing its role, the coverage of the second cell may be obtained directly from the historical data, or may be obtained by field measurement, or may be obtained by using the means of any of the above embodiments.

Step 306, determining an intersection between the boundary shapes of the first cell and the second cell, and taking a region surrounded by the intersection between the boundary shapes as an overlapping region.

Since the base stations of the cells are likely to have different antennas and different transmission powers, the increment, margin and loss of radio propagation may also be different, and thus, the intersection between the boundary shapes of the first cell and the second cell is irregular. The overlapping area can be determined geographically by the intersection between the boundary shapes, but the area of the overlapping area cannot be obtained. If the area of the overlapping area is to be acquired, calculation can be performed by means of integral operation and the like, and the required calculation amount is large.

In this embodiment, the boundary shape of the first cell can be estimated by performing calculation based on two parameters, namely, the center frequency and the path loss, which is beneficial to planning the cell; after the boundary shape of the second cell is obtained, the intersection between the first cell and the second cell is calculated, the signal overlapping area in the geographical position can be directly obtained, and the accuracy is high.

In an embodiment, focusing on how to obtain the signal coverage through calculation, it should be understood that, in a 5G system, the maximum path loss allowed by the 5G system may be characterized as MAPL, and the maximum path loss allowed by the 5G system is divided into two parts, i.e., a 5G uplink budget and a 5G downlink budget, where the uplink loss is the loss of a terminal such as a mobile phone transmitting signal, and the downlink loss is the loss of a base station transmitting signal, and the cell coverage is calculated, i.e., the coverage of the base station transmitting signal is calculated, and the maximum path loss is obtained through the downlink loss.

The formula for calculating the 5G uplink budget may be:

L_ul_MAPL＝Pout_UE-Lfhm-S_NR+Ga_MIMO-Lfkj-Lp-Mf-ML；

in the formula: PL _ UL characterizes the uplink maximum propagation loss (dB); pout _ UE characterizes the terminal maximum transmit power (dBm); lfhm characterizes human body loss (dB); s _ NR characterizes base station receive sensitivity (dBm); ga _ MIMO characterizes MIMO antenna gain (dBi), MIMO characterizes multiple input multiple output antenna systems; lfkj characterizes feeder and splice losses (dB); lp characterizes building penetration loss (dB); mf represents the shadowing fading margin (dB); ml characterizes the interference margin (dB). The values can be different according to different types of devices and different types of antennas adopted in the process of establishing different 5G cells, the values are configured when the devices leave a factory, and the parameters are shown in table 1 or can be obtained through calculation.

TABLE 1

The downlink loss, 5G downlink budget calculation formula may be:

PL_dl_MAPL＝Pout_NR-Lfhm-S_ue+Ga_MIMO-Lfkj-Lp-Mf-ML；

in the formula: PL _ DL represents the downlink maximum propagation loss (dB), Pout _ NR represents the base station maximum transmit power (dBm), Lfkj represents the feeder and joint losses (dB), S _ UE represents the terminal reception sensitivity (dBm), Ga _ MIMO represents the MIMO antenna gain (dBi), Lfhm represents the body losses (dB), p represents the building penetration loss (dB), Mf represents the shadow fading margin (dB), and Ml represents the interference margin (dB). The values may be different according to different device models and antenna models adopted in the process of setting different 5G cells, and the values may already be configured (see table 2) when the device leaves the factory, or may be obtained by calculation.

TABLE 2

To obtain a more accurate ground station antenna to mobile station antenna line distance, the calculation can be performed by uma link precomputation formula, the full name of uma is Urban Macro, a propagation model applicable to 5G Urban Macro, which can be the propagation model in 5G NR protocols 38.901, 36.873. uma the propagation LOSs expression of the model is divided into LOS and NLOS two scenes, the LOS scene is the line-of-sight transmission of radio signals, and the NLOS scene is the non-line-of-sight transmission of radio signals. In one embodiment, focusing on NLOS scenario, in this scenario, the path loss expression of uma is:

Pathloss＝161.04-7.1log10(W)+7.5log10(h) -(24.37-3.7(h/h_BS)²)log10(h_BS) +(43.42-3.1log10(h_BS))(log10(d_3D)-3)+20log10(f_c) -(3.2(log10(17.625))²-4.97)-0.6(h_UT-1.5)

wherein:

h is the average building height, 5m<h<50m, UMa typically takes on a value of 20m, RMa typically takes on a value of 5 m; w is street width, 5m<W<50m, typically 20 m; h is_BSIs a base station height, 10m<h_BS<150m, UMa typically takes on a value of 25m, RMa typically takes on a value of 35 m; h is_UTThe terminal height is typically 1.5 m; f. of_cThe unit is GHz, and the frequency application range of UMa is 0.5 GHz-100 GHz; d_3DIs the base station antenna to mobile station antenna linear distance (m).

The maximum allowable path loss downlink loss of the 5G cell can be calculated through a calculation formula of the downlink loss, and d can be calculated by substituting the calculation result of the downlink loss into Pathloss of the formula_3D。

It should be understood that the cell coverage, i.e. the coverage of the signal transmitted by the base station, can be calculated by calculating the downlink path loss. Further, as shown in fig. 4, acquiring the center frequency and the signal path loss of the first cell includes:

step 402, acquiring power parameters of the first cell, and acquiring a center frequency from the power parameters.

The parameter of the first cell may be geographical location parameter information such as a cell identifier (also referred to as CellID), longitude and latitude, a Tracking Area Code (TAC in english, often referred to as Tracking Area Code), which may be a base station antenna parameter of the first cell, for example: one or more of constraints of the base station antenna such as center frequency, maximum transmitting power, MIMO antenna gain, multi-beam compensation gain, and the like, or antenna orientation information such as a direction angle, a downward inclination angle, a horizontal half-power angle, a vertical half-power angle, an antenna hanging height, a planning scene, a downlink edge rate, and the like.

In one embodiment, the cell parameter data is shown in table 3.

TABLE 3

Step 404, calculating based on the antenna parameter of the first cell to obtain the downlink loss.

The antenna parameters of the first cell include the maximum transmission power of the base station, the gain amount, the margin, the loss amount, the terminal receiving sensitivity and other parameter categories, and the downlink loss is calculated in the following manner: and calculating the sum of the maximum transmitting power and the gain of the base station, and subtracting the margin, the loss and the receiving sensitivity of the terminal.

Optionally, each parameter category may be further subdivided to accurately obtain the downlink loss. For example, the gain amount may be a MIMO antenna gain and/or a multi-beam compensation gain; the margin may be a shadow fading margin and/or an interference margin; the amount of loss may be one or more of feeder and connector loss, body loss, and building penetration loss. For another example, to further improve accuracy, for a 5G network, the downlink loss is calculated based on the antenna parameter of the first cell, and the following formula is adopted:

PL_dl_MAPL＝Pout_NR-Lfhm-S_ue+Ga_MIMO-Lfkj-Lp-Mf-ML+Mb；

in the formula: PL _ DL represents the downlink maximum propagation loss (dB), Pout _ NR represents the base station maximum transmit power (dBm), Lfkj represents the feeder and splice losses (dB), S _ UE represents the terminal reception sensitivity (dBm), Ga _ MIMO represents the MIMO antenna gain (dBi), Lfhm represents the body loss (dB), p represents the building penetration loss (dB), Mf represents the shadow fading margin (dB), Ml represents the interference margin (dB), Mb represents the multi-beam compensation gain (dB). In this embodiment, the formula of the downlink loss can also be expressed in other ways, which is shown in table 4:

TABLE 4

According to the formula code number in table 4, the formula is simplified as: q ═ B-M-J + L-C-N-O-P + W.

In this embodiment, the overall calculation amount is further reduced by refining the power parameter data of the first cell, and the downlink loss is obtained by using the antenna parameter of the first cell, so that the overall calculation amount is further reduced. By the technical scheme of the embodiment, the signal propagation distance is obtained, and the adjacent cell planning is performed.

In one embodiment, as shown in fig. 5, the obtaining the coverage of the first cell by performing calculation based on the center frequency and the path loss with emphasis on the judgment of the neighboring cell in the 5G network includes:

step 502, a propagation distance is obtained based on the center frequency and the path loss, the propagation distance being a linear distance between the base station antenna and the boundary antenna of the first cell.

Step 504, obtaining an antenna height difference value between the base station antenna and the terminal antenna, and calculating based on the propagation distance and the antenna height difference value to obtain a horizontal distance between the base station and the terminal.

Specifically, the calculation is performed based on the propagation distance and the antenna height difference to obtain the horizontal distance between the base station and the terminal, and the method includes the following steps:

acquiring a square value of the propagation distance and acquiring a square value of the height difference of the antenna;

and subtracting the square value of the antenna height difference value from the square value of the propagation distance to obtain the square value of the horizontal distance between the base station and the terminal, squaring the square value of the horizontal distance between the base station and the terminal, and calculating the horizontal distance between the base station and the terminal.

In the conventional technology, it is widely considered by those skilled in the communication field that the antenna height is ignored, the signal propagation distance is considered to be equal to the horizontal distance between the base station and the terminal, the calculation amount can be saved, and the accuracy is not greatly influenced. Research shows that in the process of planning the 5G adjacent cell, after the horizontal distance between the base station and the terminal is calculated, blank areas of some signals can be eliminated, and the accuracy of adjacent cell planning is improved.

In the conventional 2/3/4G link budget, the propagation distance d in the propagation loss formula is generally directly considered as the distance from the base station to the terminal, and d is not calculated_2DAnd d_3DIn 5G planning, d_3DIs significantly longer than d_2D，d_2DAnd d_3DThe right-angle side and the hypotenuse of the right triangle are respectively, which is not beneficial to calculating the accurate distance from the base station to the terminal. Therefore, it is necessary to use d_3DAnd d_2DTo make the following changeCalculating:

in the embodiment, the ubiquitous cognition deviating from the objective fact is changed, and the accuracy of the adjacent cell planning is improved from a new angle by taking the height difference of the antenna into consideration.

In one embodiment, focusing on the rectification of the uma model, the method further comprises the step of modifying uma the frequency attenuation factor of the model, the step comprising:

obtaining a cost231-hata model, extracting a frequency attenuation factor of the cost231-hata model from the cost231-hata model, and correcting uma the frequency attenuation factor of the model according to the frequency attenuation factor of the cost231-hata model to obtain a corrected uma model.

The COST231-Hata is an extended version of a Hata model developed by a COST working committee consisting of EURO-COST, the application frequency is 1500-2000 MHz, and the method is suitable for a macro-cellular system with the cell radius larger than 1 km. The cost231-hata model is as follows:

wherein 33.9 is the frequency attenuation factor of cost231-hata model, hb is the effective height of the base station antenna, hm is the effective height of the mobile station antenna, a (hm) is the mobile station antenna correction factor, d is the receiving and transmitting antenna distance (cell radius), (lg d)^rThe value of the environmental correction factor can be 1, K_clutterIs a scene correction factor.

Based on the above, as the frequency is increased, the path loss calculated by the cost231-hata model is increased more, and the calculation result is pessimistic; the path loss calculated by UMa is small, and the calculation result is optimistic. The propagation model may be corrected with reference to the external field test data to further enhance accuracy.

In an alternative embodiment, the UMa frequency factor is modified to 25 for macro station planning, and the modified uma model is:

correcting Pathloss＝161.04-7.1log10(W)+7.5log10(h) -(24.37-3.7(hh_BS)²)log10(h_BS) +(43.42-3.1log10(h_BS))(log10(d_3D)-3)+25log10(f_c) -(3.2(log10(17.625))²-4.97)-0.6(h_UT-1.5)

Correspondingly, obtaining the coverage area of the first cell based on the center frequency and the path loss includes:

and according to the corrected uma model, calculating based on the center frequency and the path loss of the first cell to obtain the coverage area of the first cell.

In this embodiment, the combination of the 2/3/4G model and the 5G model improves the 5G model, so as to more accurately obtain the coverage of the first cell.

In one embodiment, as shown in fig. 6, the obtaining of the plurality of area units corresponding to the overlapping region with emphasis on the obtaining of the area units includes:

step 602, determining a regular graph corresponding to the overlap region according to the shape of the overlap region.

The shape of the overlap region is an overlap region pattern formed by the boundary lines of the overlap region, and the overlap region pattern may be a closed pattern formed by irregular curves. The sides of the overlap area pattern include at least: the boundary line of the coverage area of the first cell and the second cell.

The regular pattern refers to a pattern for performing area calculation. The regular pattern can be a common shape such as a circle, a polygon and the like, can also be a special pattern with a corresponding area calculation formula, and can also be a pattern specially used for measuring irregular areas.

The regular pattern corresponding to the overlap region is a pattern having a mapping relationship with the shape of the overlap region. In the mapping relation, the shapes of different overlapping regions may all be mapped to the same regular pattern, or may all be mapped to different regular patterns. For example: the overlapping regions may each use a rectangle to determine the corresponding relationship, an appropriate configuration such as a circle or a sector may be selected according to the shape of each overlapping region, or the shape of each sub-region may be divided to determine the corresponding shape. The method for establishing the mapping relation is various, the mapping relation between the shape of the overlapped area and the minimum circumscribed rectangle can be established, the step of comparing different circumscribed shapes is omitted, and the calculated amount of the regular shape in the selection process is saved; or corresponding different polygons or circles can be determined according to the shape of the overlapping region, so that each area unit is closer to the shape of the overlapping region, and the calculation accuracy is improved under the condition that the calculation amount is not changed greatly; the shape of the whole overlapping region can be divided into a plurality of more regular sub-regions, and the area of the whole overlapping region can be calculated through the regular shapes corresponding to the sub-regions, so that high accuracy and low calculation amount are both achieved.

In step 604, the division accuracy is acquired, and the regular pattern is divided into a plurality of times according to the division accuracy, thereby generating an area unit corresponding to the number of times of division.

The segmentation precision is used for determining the minimum area unit, which can be the meaning on any level, for example, it can be the side length or the area of the minimum area unit, which is used for guaranteeing the accuracy; or the number of times of division, which is used for controlling the calculated amount; different types of segmentation accuracy can be selected according to different instructions. The segmentation precision can be obtained through historical data, can be obtained through functional relation calculation, can be directly generated through certain conditional expressions, and can be extracted from data at the front end or the rear end.

In the conventional technology, only one area unit corresponding to preset precision is generally obtained; in the technical scheme of the application, a plurality of area units are used for reducing the area calculation amount of the overlapping area and ensuring the area calculation accuracy.

In an alternative embodiment, as shown in fig. 7, the first cell a is a circle center, and the range includes a circle a and sectors with radii ab, ac and ad and an arc cd. Wherein, point a: a first cell longitude and latitude convertible to a cell coordinate point (x1, y 1); angle beta 1: ab is the angle with the true north direction, i.e. the first cell azimuth; angle Θ 1: is the angle between ac and ad, i.e. the horizontal half-power angle of the first cell; ab: the first cell edge coverage distance d3D length, ac-ab-ad; circle a: a circle with radius d3D x 20% of the first cell edge coverage distance.

Correspondingly, the second cell e is a circle center, and the range thereof includes a circle e and a sector with ed, ef and ag as radii and theta 2 as an included angle. e, point: a second cell longitude and latitude, convertible to a cell coordinate point (x2, y 2); beta 2 angle: a second cell azimuth; angle Θ 2: a second cell horizontal half-power angle; eg: the second cell edge coverage distance d3D length, eg, ef; circle 3: circle with radius of the second cell edge covering distance d3D x 20%.

Specifically, as shown in fig. 8 and 9, a rectangle may be used as the regular graph, the regular graph is divided for multiple times, an initial rectangle covering the overlap region is obtained in an area unit corresponding to the division times, the initial rectangle is equally divided to obtain a plurality of sub-rectangles, whether the overlap region intersects with each sub-rectangle is sequentially determined, and if the overlap region intersects with each sub-rectangle, the sub-rectangles are iteratively divided as the initial rectangle of the next round until the sub-blocks including the boundary meet the minimum precision rectangle requirement.

In an optional embodiment, acquiring the multi-level area unit corresponding to the overlapping region includes:

obtaining a minimum tangent rectangle where the overlapping region is located, dividing the minimum tangent rectangle at least once according to a preset rule to obtain sub-regions, and performing segmentation iteration on the sub-regions covering the boundary of the overlapping region until the area of the sub-regions covering the boundary of the overlapping region is a preset value; wherein, the sub-regions after being equally divided are area units.

In this embodiment, the regular pattern corresponding to the overlap region is divided, so that an area unit with a higher matching degree with the overlap region can be determined to improve accuracy, and the area units of the plurality of rules are used for calculation, so that the calculation amount required by calculation can be further reduced.

In one embodiment, as shown in fig. 10, focusing on comparison between a plurality of second cells, where the plurality of second cells are multiple, obtaining an area comparison result between an overlapping region and a first cell, generating an overlapping coefficient corresponding to the area comparison result, comparing the overlapping coefficient with a corresponding threshold, and determining that the second cell is a neighboring cell of the first cell includes:

step 1002, arranging according to the size of the overlapping coefficient of each second cell, and forming an overlapping coefficient matrix of the first cell.

The arrangement mode according to the size of the overlapping coefficient of the second cell may be a descending order arrangement or an ascending order arrangement; and by forming the overlapping coefficient matrix of the first cell, each candidate neighbor cell of the first cell can be clearly shown, which is convenient for further planning.

And 1004, acquiring a neighbor cell judgment threshold, and dividing the superposition coefficient matrix according to the neighbor cell judgment threshold to obtain a neighbor cell list of the first cell.

And the adjacent cell judgment threshold is used for dividing the adjacent cell and the non-adjacent cell. The neighbor cell determination threshold corresponds to the overlap coefficient, and may be a preset value or a dynamic value. The neighbor cell determination threshold may be a specific numerical value, may also be a specific value, and may also be a dynamic value related to some parameters.

Optionally, if the ratio of the area of the overlapping region to the area of the first cell is taken as an overlapping coefficient, and if the overlapping coefficient is greater than the neighboring cell judgment threshold, the second cell corresponding to the range is determined as the neighboring cell of the first cell; if the area ratio of the first cell to the overlapping area is taken as the overlapping coefficient, and the overlapping coefficient is smaller than the adjacent cell judgment threshold value, the second cell corresponding to the range is determined as the adjacent cell of the first cell; if there are other function relations, the judgment of the neighboring cell of the first cell will be adjusted accordingly.

Specifically, for a network composed of N cells/sectors, the matrix formed by the overlapping coefficients of the cells is an N × N matrix, and the variable in the matrix represents the overlapping coefficient X between the ith first cell/sector and the jth second cell/sector_(i,j)。

Suppose N X's are available_(i,j)It can be characterized as:

X_(i1,j1)～X_(in,jn)

for these X_(i,j)The statistics are carried out, and the statistics are carried out,setting the threshold as T, when X_(i,j)When the cell number is larger than T, the cell j is called a planning adjacent cell of the cell i, and X_(i,j)The larger the overlap coefficient is, the larger the probability of adding the neighbor cell is, and after the statistics is completed, the sequence is from large to small:

X_(i1,j1)>X_(i1,j2)>X_(i1,j3)>X_(i1,j4)>X_(i1,nj)>T

the following matrix table of overlap coefficients between the source cell and the interfering cell is finally obtained, which is shown in table 5:

TABLE 5

Cell_i1

Cell_i2

Cell_i3

Cell_i4

·······

Cell_in

Cell_j1

X_(i1，j1)

X_(i2，j1)

X_(i3，j1)

X_(i4，j1)

·······

X_(in，j1)

Cell_j2

X_(i1，j2)

X_(i2，j2)

X_(i3，j2)

X_(i4，i2)

·······

X_(in，i2)

Cell_j3

X_(i1，j3)

X_(i2，i3)

X_(i3，j3)

X_(i4，i3)

·······

X_(in，i3)

Cell_j4

X_(i1，j4)

X_(i2，j4)

X_(i3，j4)

X_(i4，j4)

·······

X_(in，j4)

·······

Cell_jn

X_(i1，jn)

X_(i2，jn)

X_(i3，in)

X_(i4，jn)

·······

X_(in，n)

In this embodiment, the overlap coefficient matrix is divided by the neighbor cell determination threshold, so that a plurality of candidate neighbor cells can be directly converted into neighbor cells, thereby reducing the amount of calculation for comparing a plurality of second cells.

Further, the above embodiments have their respective emphasis points, and in order to more clearly understand the overall implementation, the following schemes may be adopted:

in terms of setting the neighboring cells, a first cell and a second cell of the same base station and/or address may be defined as neighboring cells; can be based on d of the cell to be planned_3DThe method comprises the steps of calculating the coverage area of a cell by taking the linear distance between a base station antenna and a mobile station antenna as a radius, calculating an overlapping coefficient with a peripheral cell, constructing an overlapping coefficient matrix, and incorporating an addition required neighbor LIST (ADD LIST) in cooperation with a neighbor judgment threshold, wherein the neighbor judgment threshold can be set by a user independently, and an initial default value is 0.1 according to an early-stage experiment result.

Specifically, the method comprises the following steps:

setting a neighboring cell condition parameter, wherein the neighboring cell condition parameter comprises an overlapping coefficient threshold value, the total number of neighboring cell specifications of the first cell and the like;

according to the guidelineIn the 4G and 5G work parameter information tables, a certain 5G cell is taken as a first cell needing to plan a neighboring cell, and the linear distance d between the base station antenna and the mobile station antenna is calculated according to the propagation model and the work parameter information tables_3DAccording to the linear distance d between the base station antenna and the mobile station antenna_3DCalculating the area of the overlapping region and the area of the first cell, obtaining an overlapping coefficient according to the area comparison result of the overlapping region and the first cell, constructing an overlapping coefficient matrix, and determining a first alternative adjacent region of the first cell according to the mapping relation of the overlapping coefficient in the overlapping coefficient matrix;

and selecting an 4/5G cell of the same site and the same station as a second alternative adjacent cell. Optionally, the co-location co-site refers to a second cell within a preset range of the longitude and latitude of the first cell, and the preset range of the longitude and latitude of the first cell may be 50 meters.

And generating a neighbor cell table according to the first candidate cell meeting the neighbor cell condition parameters, and/or generating the neighbor cell table according to the second candidate neighbor cell.

Therefore, the accuracy of adjacent cell planning is improved, the service quality of the 5G network is improved, the 5G service perception of a user is improved, the innovation of the network optimization industry is supported, and the project delivery capacity of an enterprise is improved.

Further, to more fully convey the technology of the present application to the user, the present application discusses the entire scheme using one embodiment, as shown in fig. 11; the method comprises the following steps:

responding to a neighbor cell planning instruction, and acquiring neighbor cell condition parameters, wherein the neighbor cell condition parameters comprise an overlapping coefficient threshold value, a frequency point and a neighbor cell number specification; wherein, the overlap coefficient threshold may be referred to as an overlap area coefficient threshold.

Acquiring working parameter data, wherein the working parameter data comprises 4G, 5G and other working parameter data, the working parameter data is used for calculating a first cell range, and the working parameter data comprises longitude and latitude and other geographic position information, an azimuth angle, maximum transmitting power, horizontal half-power angle antenna information;

taking a certain 5G cell as a planning starting point, and taking an 4/5G cell with the same address and the same station as an adjacent cell; and/or the presence of a gas in the gas,

taking a certain 5G cell as a planning starting point,calculating the linear distance d between the base station antenna and the mobile station antenna of the 5G cell by combining the geographical position information and the antenna information_3DAccording to the linear distance between the base station antenna and the mobile station antenna of the 5G cell, calculating the area of the overlapping region and the area of the 5G cell, according to the area comparison result of the overlapping region and the 5G cell, obtaining an overlapping coefficient, constructing an overlapping coefficient matrix, and dividing the overlapping coefficient matrix by applying an overlapping coefficient threshold value to obtain the adjacent cell of the 5G cell.

It should be understood that although the various steps in the flowcharts of fig. 2-8, 10 and 11 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-8, 10 and 11 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least some of the other steps.

As shown in fig. 12, the present application further provides a neighboring cell planning apparatus, which includes: a dividing module 1202, a unit obtaining module 1204, an area calculating module 1206 and a neighboring cell judging module 1208;

a partitioning module 1202, configured to obtain an overlapping area of geographic positions of a first cell and a second cell;

a unit obtaining module 1204, configured to obtain multiple area units corresponding to the overlapping region, where ranges of different area units are different;

an area calculating module 1206, configured to obtain the number of each area unit in the overlapping area, and perform calculation based on the number and the range of each area unit to obtain the area of the overlapping area;

the neighboring cell determining module 1208 is configured to obtain a comparison result between the area of the overlapping region and the coverage area of the first cell, generate an overlap coefficient corresponding to the comparison result, compare the overlap coefficient with an overlap coefficient threshold, and determine that the second cell is a neighboring cell of the first cell.

A division module 1202 including a first range acquisition unit, a second range acquisition unit, and an overlapping region determination unit;

a first range obtaining unit, configured to obtain a center frequency and a path loss of a first cell, and calculate based on the center frequency and the path loss to obtain a coverage range of the first cell, where the coverage range of the first cell includes a boundary shape of the first cell;

a second range acquisition unit configured to acquire a coverage range of a second cell, the coverage range of the second cell including a boundary shape of the second cell;

and the overlapping area determining unit is used for acquiring the intersection between the boundary shapes of the first cell and the second cell and determining an area surrounded by the intersection between the boundary shapes as an overlapping area.

The first range acquisition unit comprises a frequency acquisition subunit and a loss calculation subunit;

the frequency acquisition subunit is used for acquiring the working parameter data of the first cell and acquiring the center frequency from the working parameter data;

and the loss calculation subunit is used for acquiring the antenna parameters from the working parameter data of the first cell, and calculating based on the antenna parameters to obtain the downlink loss.

The first range acquisition unit comprises an antenna distance subunit and a horizontal distance subunit;

the antenna distance subunit is used for calculating based on the center frequency and the path loss to obtain a propagation distance, wherein the propagation distance is a linear distance between a base station antenna and a terminal antenna in the first cell;

and the horizontal distance subunit is used for acquiring an antenna height difference value of the base station antenna and the terminal antenna, and calculating based on the propagation distance and the antenna height difference value to obtain the horizontal distance between the base station and the terminal.

Optionally, the apparatus further comprises a modification module, the modification module comprising: a model acquisition unit;

the model obtaining unit is used for obtaining a cost231-hata model, extracting a frequency attenuation factor of the cost231-hata model from the cost231-hata model, and correcting uma the frequency attenuation factor of the model according to the frequency attenuation factor of the cost231-hata model to obtain a corrected uma model;

correspondingly, the loss calculating subunit is further configured to calculate, according to the modified uma model, based on the center frequency and the path loss of the first cell, to obtain the coverage area of the first cell.

A unit acquisition module 1204 including a shape confirmation unit and a unit confirmation unit;

a shape confirmation unit for determining a regular pattern corresponding to the overlap region according to the shape of the overlap region;

and a unit confirming unit for acquiring the dividing precision, and dividing the regular graph for a plurality of times according to the dividing precision to obtain an area unit corresponding to the dividing times.

The neighboring cell determining module 1208 includes an arranging unit and a dividing unit;

the arrangement unit is used for arranging according to the size of the overlapping coefficient of each second cell to form an overlapping coefficient matrix of the first cell;

and the dividing unit is used for acquiring a neighbor cell judgment threshold value, and dividing the overlapping coefficient matrix through the neighbor cell judgment threshold value to obtain a neighbor cell list of the first cell.

For specific limitations of the neighbor cell planning apparatus, reference may be made to the above limitations on the neighbor cell planning method, which is not described herein again. All modules in the neighbor cell planning apparatus may be implemented wholly or partially by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor calls and executes operations corresponding to the modules.

In one embodiment, a computer device is provided, which may be a server or a base station, and its internal structure diagram may be as shown in fig. 13. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing neighbor planning data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of neighbor planning.

Those skilled in the art will appreciate that the architecture shown in fig. 13 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In an embodiment, there is further provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the above method embodiments when executing the computer program.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), for example.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent application shall be subject to the appended claims.

Claims

1. A method for planning a neighboring cell, the method comprising:

acquiring the number of each area unit in the overlapping area, and calculating based on the number and the range of each area unit to obtain the area of the overlapping area;

2. The method of claim 1, wherein obtaining an overlap area of the geographic locations covered by the signals of the first cell and the second cell comprises:

acquiring the central frequency and the path loss of a first cell, and calculating based on the central frequency and the path loss to obtain the coverage area of the first cell, wherein the coverage area of the first cell comprises the boundary shape of the first cell;

acquiring a coverage area of a second cell, wherein the coverage area of the second cell comprises a boundary shape of the second cell;

and acquiring the intersection between the boundary shapes of the first cell and the second cell, and determining a region surrounded by the intersection between the boundary shapes as the overlapping region.

3. The method of claim 2, wherein obtaining the center frequency and the path loss of the first cell comprises:

acquiring power parameter data of a first cell, and acquiring the center frequency from the power parameter data;

and acquiring antenna parameters from the working parameter data of the first cell, and calculating based on the antenna parameters to obtain the downlink loss.

4. The method of claim 2, wherein the calculating based on the center frequency and the path loss to obtain the coverage of the first cell comprises:

calculating based on the central frequency and the path loss to obtain a propagation distance, wherein the propagation distance is a linear distance between a base station antenna and a terminal antenna in a first cell;

and acquiring an antenna height difference value of the base station antenna and the terminal antenna, and calculating based on the propagation distance and the antenna height difference value to obtain the horizontal distance between the base station and the terminal.

5. The method of claim 3, further comprising the step of modifying uma the frequency attenuation factor of the model, the step comprising:

acquiring a cost231-hata model, extracting a frequency attenuation factor of the cost231-hata model from the cost231-hata model, and correcting uma the frequency attenuation factor of the model according to the frequency attenuation factor of the cost231-hata model to obtain a corrected uma model;

the obtaining the coverage area of the first cell based on the center frequency and the path loss comprises:

6. The method of claim 1, wherein the obtaining the plurality of area units corresponding to the overlapping region comprises:

determining a regular graph corresponding to the overlapping area according to the shape of the overlapping area;

and acquiring the segmentation precision, and segmenting the regular graph for multiple times according to the segmentation precision to obtain an area unit corresponding to the segmentation times.

7. The method of claim 1, wherein the number of the second cells is multiple, the obtaining the area comparison result between the overlapping region and the first cell, generating an overlapping coefficient corresponding to the area comparison result, and comparing the overlapping coefficient with a corresponding threshold to determine that the second cell is a neighboring cell of the first cell comprises:

arranging according to the size of the overlapping coefficient of each second cell to form an overlapping coefficient matrix of the first cell;

and acquiring a neighbor cell judgment threshold, and dividing the overlapping coefficient matrix through the neighbor cell judgment threshold to obtain a neighbor cell list of the first cell.

8. An apparatus for neighbor planning, the apparatus comprising:

the unit acquiring module is used for acquiring a plurality of area units corresponding to the overlapping area, and the ranges of different area units are different;

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.