CN112950243B

CN112950243B - 5G station planning method and device, electronic equipment and storage medium

Info

Publication number: CN112950243B
Application number: CN201911259759.0A
Authority: CN
Inventors: 李犇; 赵春芹
Original assignee: Datang Mobile Communications Equipment Co Ltd
Current assignee: Datang Mobile Communications Equipment Co Ltd
Priority date: 2019-12-10
Filing date: 2019-12-10
Publication date: 2024-04-09
Anticipated expiration: 2039-12-10
Also published as: CN112950243A

Abstract

The embodiment of the invention discloses a 5G station address planning method, a device, electronic equipment and a storage medium, wherein the method comprises the steps of obtaining 4G current network coverage data corresponding to a target area, determining 5G coverage data corresponding to the target area based on the 4G current network coverage data, and determining a weak coverage sub-area in the target area based on the 5G coverage data; clustering the weak coverage sub-areas through a first clustering algorithm to generate a first clustering sub-area, and determining whether a second clustering sub-area exists in the first clustering sub-area, wherein the second clustering sub-area is a sub-area with an area range larger than a preset maximum range in the first clustering sub-area; if the second sub-areas exist, clustering the second sub-areas through a second clustering algorithm to generate site clustering sub-areas, and determining 5G site planning information based on the site clustering sub-areas. The invention can improve the planning efficiency of the station address.

Description

5G station planning method and device, electronic equipment and storage medium

Technical Field

The invention relates to the technical field of communication, in particular to a 5G station address planning method, a device, electronic equipment and a storage medium.

Background

The 5G (5 th-Generation, fifth Generation mobile communication technology) technology can generally implement network coverage based on base stations built in various areas to provide network services to users. How to plan the site of the 5G base station is also important to improve the network service quality of each area.

At present, the station address information of the base station to be built is planned by staff according to the simulation result of planning software. Specifically, first, the site information of each existing 4G (the 4G th generation mobile communication technology, fourth generation mobile communication technology) base station may be acquired, and 5G coverage simulation may be performed based on the site information of each 4G base station using planning software. Then, based on the foregoing 5G coverage simulation results, all weak coverage sub-areas may be determined, such as areas where all network signals cover weaker. And then, the staff can determine the site information of the 5G base station which needs to be newly added based on the analysis of all the weak coverage sub-areas so as to construct the 5G base station according to the site information of the 5G base station which needs to be newly added.

In the prior art, all the weak coverage sub-areas are manually analyzed to determine the site information of the 5G base station which needs to be newly added, and a large amount of manpower resources and time are required to be consumed, so that the site planning efficiency is lower.

Disclosure of Invention

Because the existing method has the problems, the embodiment of the invention provides a 5G site planning method, a device, electronic equipment and a storage medium.

In a first aspect, an embodiment of the present invention provides a 5G site planning method, including:

acquiring 4G current network coverage data corresponding to a target area, determining 5G coverage data corresponding to the target area based on the 4G current network coverage data, and determining a weak coverage sub-area in the target area based on the 5G coverage data;

clustering the weak coverage sub-area through a first clustering algorithm to generate a first clustering sub-area, and determining whether a second clustering sub-area exists in the first clustering sub-area, wherein the second clustering sub-area is a sub-area with an area range larger than a preset maximum range in the first clustering sub-area;

if the second sub-areas exist, clustering the second sub-areas through a second clustering algorithm to generate site clustering sub-areas, and determining 5G site planning information based on the site clustering sub-areas.

Optionally, the determining a weak coverage sub-area in the target area based on the 5G coverage data includes:

Acquiring a preset 5G data coverage intensity minimum value, determining a 5G data coverage intensity value corresponding to each sub-area in the target area based on the 5G coverage data, and determining whether the current 5G data coverage intensity value is smaller than the preset 5G data coverage intensity minimum value;

and if the coverage intensity value of the current 5G data is smaller than the preset minimum value of the coverage intensity of the 5G data, determining the subarea corresponding to the coverage intensity value of the current 5G data as a weak coverage subarea.

Optionally, the determining the 5G coverage data corresponding to the target area based on the 4G existing network coverage data includes:

if the 4G network and the 5G network are in the same frequency band, acquiring a power difference value and a receiving level difference value of the 4G network and the 5G network, and determining a beam difference value of the 4G network and the 5G network;

and determining 5G coverage data corresponding to the target area based on the 4G current network coverage data, the power difference value, the receiving level difference value and the beam difference value.

Optionally, the determining the beam difference between the 4G network and the 5G network includes:

acquiring a 4G network single beam and each beam of a 5G network, and determining an included angle between a user and a base station antenna corresponding to the user;

determining a 4G beam gain corresponding to the 4G network single beam based on the included angle, and determining a 5G beam total gain corresponding to each beam of the 5G network overall based on the included angle;

And determining the beam difference between the 4G network and the 5G network based on the 4G beam gain and the total 5G beam gain corresponding to each beam of the 5G network.

determining 5G coverage prediction data based on the 4G existing network coverage data, the power difference value, a reception level difference value, and the beam difference value, and determining the 5G coverage prediction data as 5G calibration data;

performing 5G coverage simulation on the target area, determining a non-current network data coverage sub-area which does not correspond to 4G current network coverage data in the target area, and determining 5G simulation data corresponding to the non-current network data coverage sub-area as 5G data to be calibrated;

obtaining a level difference value to be calibrated based on the 5G calibration data and the 5G data to be calibrated through an inverse distance weighting algorithm, and determining 5G coverage data corresponding to the coverage sub-area of the non-current network data based on the 5G data to be calibrated and the level difference value to be calibrated;

and generating 5G coverage data corresponding to the target area based on the 5G calibration data and the 5G coverage data corresponding to the non-current network data coverage sub-area.

Optionally, after determining whether the second clustering subregion exists in the first clustering subregion, the method further includes:

and if the second clustering subarea does not exist, generating a site clustering subarea based on the first clustering subarea, and determining 5G site planning information based on the site clustering subarea.

Optionally, the determining the 5G coverage data corresponding to the target area based on the 4G existing network coverage data further includes:

if the 4G network and the 5G network are in different frequency bands, determining a frequency band difference value between the 4G network and the 5G network, and determining a wave beam difference value between the 4G network and the 5G network;

and acquiring a power difference value and a receiving level difference value of the 4G network and the 5G network, and determining 5G coverage data corresponding to the target area based on the frequency band difference value, the wave beam difference value, the power difference value and the receiving level difference value.

Optionally, after determining the 5G site planning information based on the site clustering sub-area, the method further includes:

clustering weak coverage sub-areas of 5G site planning information into a preset number of classes through a cluster analysis algorithm, and determining a central point of each class;

and determining an initial industrial parameter of the cell corresponding to the 5G site planning information based on the 5G site planning information and the position information of the central point of each class, wherein the initial industrial parameter comprises a direction angle and a downward inclination angle.

In a second aspect, an embodiment of the present invention further provides a 5G site planning apparatus, including a weak coverage determining module, a clustering processing module, and a site planning module, where:

the weak coverage determining module is configured to obtain 4G current network coverage data corresponding to a target area, determine 5G coverage data corresponding to the target area based on the 4G current network coverage data, and determine a weak coverage sub-area in the target area based on the 5G coverage data;

the clustering processing module is used for carrying out clustering processing on the weak coverage sub-areas through a first clustering algorithm, generating a first clustering sub-area, and determining whether a second clustering sub-area exists in the first clustering sub-area, wherein the second clustering sub-area is a sub-area with an area range larger than a preset maximum range in the first clustering sub-area;

and the site planning module is used for carrying out clustering processing on the second sub-areas through a second clustering algorithm if the second sub-areas exist, generating site clustering sub-areas and determining 5G site planning information based on the site clustering sub-areas.

Optionally, the weak coverage determining module is configured to:

obtaining a level difference value to be calibrated based on the 5G calibration data and the 5G data to be calibrated through an inverse distance weighting algorithm, and determining 5G coverage data corresponding to the coverage sub-area of the non-existing network data based on the 5G data to be calibrated and the level difference value to be calibrated;

Optionally, the cluster processing module is configured to:

Optionally, the cluster processing module is further configured to:

Optionally, the system further comprises a parameter determining module for:

In a third aspect, an embodiment of the present invention further provides an electronic device, including:

At least one processor; and

at least one memory communicatively coupled to the processor, wherein:

the memory stores program instructions executable by the processor, which are called by the processor to perform the method described above.

In a fourth aspect, embodiments of the present invention also propose a non-transitory computer-readable storage medium storing a computer program, which causes the computer to carry out the above-mentioned method.

According to the technical scheme, the 5G coverage data is determined based on the 4G existing network coverage data, the weak coverage sub-area in the target area is determined based on the 5G coverage data, the weak coverage sub-area is clustered twice to generate the site clustering sub-area, and the 5G site planning information is determined based on the site clustering sub-area. Therefore, on one hand, the automatic planning of the 5G site can be realized, so that the consumption of manpower resources and time can be reduced, and the site planning efficiency can be effectively improved. On the other hand, the method provided by the embodiment of the invention automatically determines the 5G site planning information by carrying out clustering processing on the weak coverage sub-area twice, so that the dependence on the professional knowledge level of staff when the 5G site planning information is manually determined can be avoided, the accuracy of the 5G site planning information can be effectively improved, and the site planning efficiency can be further improved.

Drawings

In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings that are necessary for the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention and that other drawings can be obtained from these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flow chart of a 5G site planning method according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of a first clustering sub-region according to an embodiment of the present invention;

fig. 3 is a schematic beam diagram of a 4G network and a 5G network according to an embodiment of the present invention;

fig. 4 is a schematic diagram of a cell direction angle according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of a cell downtilt angle according to an embodiment of the present invention;

fig. 6 is a schematic structural diagram of a 5G site planning apparatus according to an embodiment of the present invention;

fig. 7 is a logic block diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

The following describes the embodiments of the present invention further with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention.

Fig. 1 shows a flow chart of a 5G site planning method provided in this embodiment, including:

s101, acquiring 4G current network coverage data corresponding to a target area, determining 5G coverage data corresponding to the target area based on the 4G current network coverage data, and determining a weak coverage sub-area in the target area based on the 5G coverage data.

The target area refers to an area needing 5G site planning.

The weak coverage sub-area may be one or more.

In implementation, when 5G site planning is required to be performed on a target area, 5G coverage data can be obtained based on the existing 4G current network coverage data and the difference value between the 4G network and the 5G network, clustering processing is performed on the 5G coverage data once or twice through a clustering algorithm to obtain site clustering sub-areas, and 5G site planning information is determined based on the site clustering sub-areas so as to construct a base station based on the 5G site planning information. Specifically, first, 4G current network coverage data corresponding to a target area may be acquired, where The 4G current network coverage data may at least include MR (Measurement Report ), OTT (Top application), MDT (Minimization of Drive-tests, minimization of drive tests) and other data. Then, the 5G coverage data corresponding to the target area may be determined based on the 4G current network coverage data, and the 5G coverage data may be preprocessed to determine a sub-area (may be referred to as a weak coverage sub-area) in the target area, where the weak coverage sub-area is an area in the target area where a new base station needs to be newly built to implement network coverage.

S102, clustering is conducted on the weak coverage sub-areas through a first clustering algorithm, a first clustering sub-area is generated, and whether a second clustering sub-area exists in the first clustering sub-area is determined.

The first clustering subarea refers to a subarea obtained by clustering the weak coverage subarea, and the first clustering subarea can be one or a plurality of first clustering subareas.

The first clustering algorithm refers to an algorithm for clustering the weak coverage sub-areas, such as a density clustering algorithm OPTICS (Ordering Points To Identify the Clustering Structure) algorithm.

The second cluster subarea refers to a subarea with a regional range larger than a preset maximum range in the first cluster subarea, and the second cluster subarea can be one or more.

The preset maximum range refers to a preset maximum range allowed by each sub-area, namely, the effective range which can be covered by a single base station can be understood, for example, 4000 grids can be set, namely, when the number of grids included in one first clustering sub-area exceeds 4000, the sub-area is considered to be a second clustering sub-area.

In implementation, after determining the weak coverage sub-regions in the target region, clustering may be performed on all the weak coverage sub-regions by using a first clustering algorithm to obtain one or more first clustering sub-regions, where each point in fig. 2 represents a grid in the weak coverage sub-region, and each circle represents a first clustering sub-region. Then, it may be determined whether there is a second cluster sub-region having a sub-region range greater than a preset maximum range among the aforementioned first cluster sub-regions.

Specifically, the clustering process of the weak coverage sub-area by the OPTICS algorithm may be: step 1) inputs all grids of the aforementioned weak coverage sub-area (which may be referred to as data sample D), and initializes the achievable distance of the grids, the core distance, the radius epsilon, and the minimum grid number MinPts. Step 2) may determine core points (points representing the grid) based on the aforementioned core distances, and may determine direct density reachable points for each core point based on the reachable distances. Step 3) an ordered queue can be established for storing core points and direct density reachable points of the core points; and a result queue may be established for storing sample outputs and processing orders. And 4) sequentially processing the data in the data sample D until all the data are processed, and clustering the result. Otherwise, sequentially selecting an unprocessed core point from the data sample D, placing the unprocessed core point into a result queue, storing the direct density reachable points of the core point into an ordered queue, and arranging the direct density reachable points in ascending order according to the reachable distance. Step 5) returning to the step 4) when the ordered queue is empty; when the ordered queue is not empty, a point is selected from the ordered queue. Step 6) judging whether the point is a core point, if not, returning to step 5), and if so, storing the point into a result queue, and executing step 7). Step 7) determining all the direct density reachable points of the point, storing the direct density reachable points into an ordered queue, and sequencing the points in the ordered queue in ascending order according to the reachable distance; if the point is already in the ordered queue and the reachable distance of the new direct density reachable point is small, the reachable distance of the point is updated. Step 8), repeating the step 5) until the ordered queue is empty, and ending the clustering process.

S103, if the second sub-areas are present, clustering the second sub-areas by a second clustering algorithm to generate site clustering sub-areas, determining 5G site planning information based on the site clustering sub-areas,

the site clustering sub-areas refer to sub-areas obtained by clustering the second aggregate sub-areas, and one or more site clustering sub-areas can be provided.

The second clustering algorithm refers to an algorithm for clustering the second clustering sub-regions, and may be a mean shift clustering algorithm.

The 5G site planning information may at least include location information of each base station that needs to be newly added in the planned target area.

In implementation, if a second clustering sub-area with the area range larger than the preset maximum range exists in the first clustering sub-area, a second clustering process can be performed on the second clustering sub-area through a second clustering algorithm, so that a site clustering sub-area is generated. The 5G site planning information, which may be specific geographical location information, may then be determined based on the site clustering sub-areas, to perform base station construction based on each of the geographical location information in the 5G site planning information.

Specifically, the clustering process performed by the mean shift clustering algorithm may be: step 1) randomly selecting a point (i.e. grid) in the second sub-area of the cluster as an initial center point. Step 2) determines all points within the bandwidth from the initial center point, denoted set M, and may be considered as belonging to cluster C. Step 3) calculating vectors starting from the initial center point to each point in the set M and adding these vectors to obtain an offset vector. Step 4) moving the initial center point along the direction of the offset vector, wherein the moving distance is the modulus of the offset vector. And 5) repeating the steps 2), 3) and 4) until the magnitude of the offset vector meets the set threshold requirement, recording the center point at the moment, and classifying the center point. Step 6) repeating the above steps 1), 2), 3), 4), 5) until all points are categorized. Step 7) classification: and determining the access frequency of each class to each point, and taking the class with the largest access frequency as the class of the current point set M.

Specifically, the center position of the weak coverage/high interference area can be generally determined as 5G site planning information, and the following problems can be considered in determining the 5G site planning information:

1) If the area range of the site clustering subarea is smaller than the preset minimum value of the site clustering subarea, the site clustering subarea and other site clustering subareas can be combined for processing. 2)

And according to the real-time map information, the ground object type and the building height of the position where the 5G site planning information is located in the site clustering subregion are obtained, whether the selected 5G site planning information is actually available (such as places unsuitable for site building in water, rivers, super-high buildings and the like) is judged, and if the current site is unavailable, a nearest available position can be searched for as new 5G site planning information to the periphery. 3) The distances between newly added 5G site planning information and surrounding existing base stations can be calculated, and if the distances are particularly close, for example, smaller than a preset minimum distance, it can be considered that if a base station is constructed at the position, larger interference can be generated with the nearby existing base stations, so that the short-distance 5G site planning information needs to be filtered and deleted.

Further, on the basis of the above method embodiment, the weak coverage sub-area in the target area may be determined according to the 5G coverage intensity value of each sub-area in the target area, and the corresponding processing may be as follows: acquiring a preset 5G data coverage intensity minimum value, determining a 5G data coverage intensity value corresponding to each sub-area in the target area based on the 5G coverage data, and determining whether the current 5G data coverage intensity value is smaller than the preset 5G data coverage intensity minimum value; if the coverage intensity value of the current 5G data is smaller than the preset minimum value of the coverage intensity of the 5G data, determining the subarea corresponding to the coverage intensity value of the current 5G data as a weak coverage subarea.

The current 5G data coverage intensity value refers to a 5G data coverage intensity value corresponding to any one subarea in the target area.

The preset 5G data coverage intensity minimum value refers to an intensity value of a preset 5G data coverage intensity, and when the 5G data coverage intensity value of a certain sub-area is smaller than the value, the sub-area can be considered as a weak coverage sub-area.

In implementation, when determining the weak coverage area in the target area, first, a preset 5G data coverage intensity minimum value may be obtained, and a 5G data coverage intensity value corresponding to each sub-area in the target area may be determined based on the 5G coverage data, for example, 5G coverage data corresponding to each sub-area in the target area may be determined, and a 5G data coverage intensity value corresponding to each sub-area may be determined based on the 5G coverage data corresponding to each sub-area. Then, the current 5G data coverage intensity value may be compared with the preset 5G data coverage intensity minimum value to determine whether the current 5G data coverage intensity value is less than the preset 5G data coverage intensity minimum value. If the coverage intensity value is smaller than the preset minimum value of the coverage intensity of the 5G data, determining the subarea corresponding to the current coverage intensity value of the 5G data as a weak coverage subarea. It will be appreciated that the magnitude relationship between each 5G data coverage intensity value and the preset 5G data coverage intensity minimum value may be determined in turn until it is determined whether each sub-region in the target region is a weak coverage sub-region. It may occur that the 5G data coverage intensity value of one or more sub-areas in the target area is lower than the 5G data coverage intensity minimum value, i.e. one or more sub-areas in the target area may be weak coverage sub-areas.

It can be appreciated that the 5G coverage data may also be preprocessed according to different criteria, and specifically, it may be determined whether the 5G coverage data corresponding to each sub-region in the target region meets a preset performance data requirement. If the level in the 5G coverage data is smaller than the preset level minimum value, or the SINR (Signal to Interference plus Noise Ratio ) in the 5G coverage data is smaller than the preset SINR minimum value, determining a sub-area in the target area, where the level is smaller than the preset level minimum value or the SINR is smaller than the preset SINR minimum value, as the weak coverage sub-area; alternatively, a sub-area in the target area having a distance from the existing base station exceeding a predetermined distance maximum value (for example, 500 m) may be determined as the weak coverage sub-area.

Further, on the basis of the above method embodiment, the 5G coverage data may be determined by combining the power difference value, the reception level difference value, and the beam difference value, and the corresponding partial processing in step S101 may be as follows: if the 4G network and the 5G network are in the same frequency band, acquiring a power difference value and a receiving level difference value of the 4G network and the 5G network, and determining a beam difference value of the 4G network and the 5G network; and determining 5G coverage data corresponding to the target area based on the 4G current network coverage data, the power difference value, the receiving level difference value and the beam difference value.

Wherein, the power difference refers to the difference value between the 4G network and the 5G network in transmitting power.

In implementation, when the 4G network and the 5G network of the target area are in the same frequency band, the 5G coverage data corresponding to the target area can be determined based on the 4G current network coverage data and by combining the power difference, the receiving level difference and the beam difference of the 4G network and the 5G network of the target area. Specifically, after the 4G current network coverage data is acquired, a frequency band corresponding to the 4G network and a frequency band corresponding to the 5G network in the target area may be acquired, and whether the frequency band corresponding to the 4G network and the frequency band corresponding to the 5G network are in the same frequency band is determined. If the 4G network and the 5G network are in the same frequency band, the power difference between the 4G network and the 5G network can be obtained, taking the case that the 5G network works in SUB6G frequency band, assuming that the 5G network mainly uses 100MHz bandwidth in the frequency band, the subcarrier interval is configured by 30KHz or 60KHz, the power difference between the 4G network and the 5G network in transmitting power can be divided into +2.7db or +5.7db. The receiving level difference between the 4G network and the 5G network may also be obtained, for example, assuming that LTE (Long Term Evolution ) terminals have two receiving antennas and 4 receiving antennas of the 5G terminal, considering the receiving gain of multiple antennas, the receiving level of the 5G terminal is 3dB higher than that of the 4G terminal, that is, the receiving level difference between the 4G network and the 5G network may be set to 3dB. And can determine the beam difference between the 4G network and the 5G network, so as to determine the 5G coverage data corresponding to the target area based on the above 4G current network coverage data, the above power difference, the receiving level difference and the beam difference. In this way, the power difference, the receiving level difference and the beam difference of the 4G network and the 5G network are combined to determine the 5G coverage data, so that the accuracy of the 5G coverage data can be further improved, the accuracy of the generated site clustering subareas can be further improved, the accuracy of 5G site planning information is further improved, and the site planning efficiency can be further improved.

Further, on the basis of the above method embodiment, the beam difference between the 4G network and the 5G network may be determined based on the beam gains of the 4G network and the 5G network, and the corresponding processing may be as follows: acquiring a 4G network single beam and each beam of a 5G network, and determining an included angle between a user and a base station antenna corresponding to the user; determining the 4G beam gain corresponding to the single beam of the 4G network based on the included angle, and determining the total 5G beam gain corresponding to the whole of each beam of the 5G network based on the included angle; and determining the beam difference between the 4G network and the 5G network based on the 4G beam gain and the total 5G beam gain corresponding to each beam of the 5G network.

In implementation, the beam difference between the 4G network and the 5G network may be determined based on the angle between the base station antennas corresponding to the users and each beam of the 4G network single beam and the 5G network. In particular, considering that the 5G network introduces Massive MIMO (Massive Multiple Input Multiple Output, large-scale antenna technology) and beam management technology, the 5G network provides greater coverage capability and flexibility in both horizontal maintenance and vertical dimensions than the 4G network. The beam differences between the 4G network and the 5G network are shown in fig. 3, wherein the black filling part is a 5G beam, the sector area is not filled with the black filling part and is a 4G beam, and as can be seen from fig. 3, the coverage capability of a plurality of narrow beams of the 5G network is stronger than that of a single wide beam of the 4G network, so that the difference between the 4G network and the 5G network on the beam coverage needs to be determined, and the specific steps can be as follows: step 1) acquiring beam patterns (horizontal dimension and vertical dimension) of single beam of the 4G network and each beam of the 5G network. Step 2) b) calculating the included angle between the position of the user and the base station antenna corresponding to the user in the horizontal direction and the vertical direction. And 3) inquiring the 4G network beam pattern according to the included angle, respectively calculating the gains of the horizontal dimension and the vertical dimension of the single beam of the 4G network, and synthesizing the gains into the total gain of the beam of the 4G network (which can be called as 4G beam gain). And 4) inquiring the beam patterns of the 5G network according to the included angles, respectively calculating the gains of the horizontal dimension and the vertical dimension of each beam of the 5G network, synthesizing the gains into the overall gain of each beam of the 5G network, and taking the maximum value of the gains of each beam as the overall gain of the 5G beam. Step 5) subtracting the 4G beam gain from the 5G beam total gain to obtain the beam difference between the 4G network and the 5G network. Therefore, the beam difference value is determined based on the 4G beam gain and the 5G beam total gain, the accuracy of the determined 5G coverage data can be further improved, the accuracy of 5G station address planning information can be further improved, and the station address planning efficiency can be further improved.

Further, on the basis of the above method embodiment, the 5G coverage data corresponding to the 4G uncovered area may be determined, and the corresponding partial processing in step S101 may be as follows: determining 5G coverage prediction data based on the 4G existing network coverage data, the power difference value, the reception level difference value and the beam difference value, and determining the 5G coverage prediction data as 5G calibration data; performing 5G coverage simulation on the target area, determining a coverage sub-area without current network data, which does not correspond to the 4G current network coverage data, in the target area, and determining 5G simulation data corresponding to the coverage sub-area without current network data as 5G data to be calibrated; obtaining a level difference value to be calibrated based on the 5G calibration data and the 5G data to be calibrated through an inverse distance weighting algorithm, and determining 5G coverage data corresponding to the coverage sub-area without the existing network data based on the 5G data to be calibrated and the level difference value to be calibrated; and generating 5G coverage data corresponding to the target area based on the 5G calibration data and the 5G coverage data corresponding to the coverage area without the current network data.

Wherein, the coverage area without current network data refers to an area in the target area, where the 4G current network coverage data is not corresponding, and the area may be one or more.

The 5G calibration data refers to 5G coverage data of a sub-area corresponding to the 4G current network coverage data in the target area, namely the 5G coverage prediction data.

And the 5G data to be calibrated refers to 5G coverage simulation data corresponding to a subarea which does not correspond to the 4G current network coverage data in the target area obtained by coverage simulation.

In practice, it is considered that the 4G existing network coverage data is not full data in most cases, i.e. the 4G network cannot cover all areas completely, so that the area partially lacking the 4G existing network coverage data can be obtained by calibrating the 5G simulation data. Specifically, first, 5G coverage prediction data may be determined based on the aforementioned 4G existing network coverage data, power difference, reception level difference, and beam difference, and the 5G coverage prediction data may be determined as 5G calibration data. Then, coverage simulation can be performed on the target area, for example, coverage simulation can be performed through planning software, so as to determine a coverage sub-area of non-current network data, in which the 4G current network coverage data is not corresponding, in the target area, and the coverage simulation data corresponding to the coverage sub-area of the non-current network data can be used for determining the 5G data to be calibrated corresponding to the coverage sub-area of the non-current network data. And then, calculating the level difference value between the 5G to-be-calibrated data of the to-be-calibrated area (namely, the non-existing network data coverage sub-area which does not correspond to the 4G existing network coverage data) and the 5G to-be-calibrated data (namely, the 5G coverage data of the sub-area which corresponds to the 4G existing network coverage data), namely, the to-be-calibrated level difference value through an inverse distance weighting algorithm. And then, determining the 5G coverage data corresponding to the coverage sub-area of the non-current network data based on the 5G data to be calibrated and the level difference to be calibrated, and generating the 5G coverage data corresponding to the target area based on the 5G calibration data and the 5G coverage data corresponding to the coverage sub-area of the non-current network data. In this way, based on the 5G coverage data of the coverage sub-area without the existing network data and the 5G calibration data of the coverage sub-area, the 5G coverage data corresponding to the target area is determined, so that the accuracy of the 5G coverage data can be further improved, the accuracy of 5G site planning information can be further improved, and the site planning efficiency is further improved.

Specifically, the process of calculating the 5G to-be-calibrated data of the to-be-calibrated area and the to-be-calibrated level difference of the 5G to-be-calibrated data by the inverse distance weighting algorithm may be as follows: step 1) taking all calibration grid (i.e. the grid corresponding to the sub-region of the 4G current grid coverage data) positions as known points, and recording the calibration grid difference as Z (X) _i ，Y _i ) Wherein X is _i 、Y _i Representing the abscissa and ordinate, respectively, in the grid ID of the ith calibration grid. Step 2) sequentially selecting a grid to be calibrated (i.e. a grid of a coverage sub-area of non-current network data which does not correspond to the 4G current network coverage data) and marking the grid as (X) ₀ ，Y ₀ ) Wherein X is ₀ 、Y ₀ Representing the abscissa and ordinate, respectively, in the grid ID of the grid to be calibrated. Step 3) calculating the distance of the grid to be calibrated from each calibration grid, for example, according to the following formula:

wherein d _i Representing the distance of the grid to be calibrated from the ith calibration grid.

Step 4) calculate a weight for each calibration grid, which may be a function of the inverse distance, as may be calculated according to the following formula:

wherein lambda is _i Representing the weight of the ith calibration grid and n represents the number of calibration grids. Calibration grids within 50 meters from the cell can be removed when selecting a calibration grid, and calibration grids outside 20 meters from the grid to be calibrated can be removed, so that the level value of the selected calibration grid is between (-40, -135).

Step 5) calculating the level difference to be calibrated, for example, according to the following formula:

wherein,representing the level difference to be calibrated.

Further, on the basis of the above method embodiment, if the second aggregate sub-area does not exist, the 5G site planning information may be determined by the first aggregate sub-area, and the corresponding processing may be as follows: and if the second clustering subarea does not exist, generating a site clustering subarea based on the first clustering subarea, and determining 5G site planning information based on the site clustering subarea.

In an implementation, if there is no second cluster sub-region in the first cluster sub-region with a sub-region range greater than a preset maximum range, the site cluster sub-region may be generated based on the first cluster sub-region. And then determining 5G site planning information, such as specific geographic position information, based on the site clustering subareas so as to perform base station construction according to each geographic position information in the 5G site planning information.

Further, on the basis of the above method embodiment, the frequency band difference between the 4G network and the 5G network may be combined to determine the 5G coverage data, and the corresponding partial processing in step S101 may be as follows: if the 4G network and the 5G network are in different frequency bands, determining a frequency band difference value between the 4G network and the 5G network, and determining a beam difference value between the 4G network and the 5G network; and acquiring a power difference value and a receiving level difference value of the 4G network and the 5G network, and determining 5G coverage data corresponding to the target area based on the frequency band difference value, the wave beam difference value, the power difference value and the receiving level difference value.

In implementation, when the 4G network and the 5G network are in different frequency bands, the frequency band difference between the 4G network and the 5G network can be determined, and the 5G coverage data corresponding to the target area is determined by combining the frequency band difference between the 4G network and the 5G network. Specifically, if the 4G network and the 5G network are in different frequency bands, the frequency band difference between the 4G network and the 5G network can be determined, and the beam difference between the 4G network and the 5G network can be determined. Then, the power difference and the reception level difference of the 4G network and the 5G network may be obtained, and the 5G coverage data corresponding to the target area may be determined based on the frequency band difference, the beam difference, the power difference and the reception level difference. In this way, when the 4G network and the 5G network are in different frequency bands, the 5G coverage data corresponding to the target area is determined by combining the frequency band difference value, so that the accuracy of the 5G coverage data corresponding to the target area can be further improved, the accuracy of the determined 5G site planning information can be further improved, and the site planning efficiency is further improved.

Further, on the basis of the above method embodiment, the initial parameters of the cell may be determined, and the corresponding processing may be as follows: clustering weak coverage sub-areas of 5G site planning information into a preset number of classes through a cluster analysis algorithm, and determining a central point of each class; and determining the initial project parameters of the cell corresponding to the 5G site planning information based on the 5G site planning information and the position information of the central point of each class.

Wherein, the initial project parameters can at least comprise a direction angle and a downward inclination angle.

In implementation, after determining the 5G site planning information, initial parameters of each cell corresponding to the 5G site planning information may also be determined. Specifically, firstly, weak coverage sub-areas of the base stations which need to be newly added in the 5G site planning information can be clustered into a preset number of classes (for example, 3) through a cluster analysis algorithm, for example, a K-Means clustering algorithm (K-Means clustering algorithm) with K equal to 3, and the central point of each class is determined. Then, based on the 5G site planning information and the position information of the center point of each class, an initial parameter of the cell corresponding to the 5G site planning information, such as a direction angle and a downtilt angle, may be determined. Therefore, the initial industrial parameters of the cell can be determined while the 5G site planning information is determined, so that the time for manually determining the initial industrial parameters of the cell can be effectively saved, the time for site planning and base station construction is reduced, and the site planning efficiency can be further improved.

Specifically, let st_x be the longitude of the currently corresponding base station, st_y be the latitude of the currently corresponding base station, lon be the longitude of the center point of the weak coverage sub-area, lat be the latitude of the center point of the weak coverage sub-area, As shown in fig. 4, the calculation process of the direction angle of the cell may be:

wherein if it

Then

end

If it is

Then

Specifically, as shown in fig. 5, assuming that the black square is the position of the center point of the weak coverage sub-area in fig. 5, the downtilt angle e of the cell _Rx The calculation formula of (2) can be as follows:

wherein H is _tx Indicating that the antenna is hung up; e (E) _tx Representing the elevation of the grid where the base station is located; h _rx Representing the height of the grid where the user is located; e (E) _rx Representing the elevation of the grid where the user is located; d represents the distance between the center point of the weak coverage sub-area and the base station, and can be calculated by the longitude and latitude of the center point and the base station.

Fig. 6 shows a schematic structural diagram of a 5G site planning apparatus according to this embodiment, including a weak coverage determining module 601, a clustering processing module 602, and a site planning module 603, where:

the weak coverage determining module 601 is configured to obtain 4G current network coverage data corresponding to a target area, determine 5G coverage data corresponding to the target area based on the 4G current network coverage data, and determine a weak coverage sub-area in the target area based on the 5G coverage data;

the clustering module 602 is configured to perform clustering on the weak coverage sub-area by using a first clustering algorithm, generate a first clustering sub-area, and determine whether a second clustering sub-area exists in the first clustering sub-area, where the second clustering sub-area is a sub-area whose area range in the first clustering sub-area is greater than a preset maximum range;

The site planning module 603 is configured to, if the second sub-area is present, perform clustering processing on the second sub-area by using a second clustering algorithm, generate a site cluster sub-area, and determine 5G site planning information based on the site cluster sub-area.

Optionally, the weak coverage determining module 601 is configured to:

Optionally, the cluster processing module 602 is configured to:

Optionally, the cluster processing module 602 is further configured to:

Optionally, the system further comprises a parameter determining module for:

The 5G site planning apparatus in this embodiment may be used to execute the above method embodiments, and the principle and technical effects are similar, and are not described herein again.

Referring to fig. 7, the electronic device includes: a processor (processor) 701, a memory (memory) 702, and a bus 703;

wherein,

the processor 701 and the memory 702 perform communication with each other through the bus 703;

the processor 701 is configured to invoke the program instructions in the memory 702 to execute the methods provided in the above method embodiments.

The present embodiments disclose a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, are capable of performing the methods provided by the method embodiments described above.

The present embodiment provides a non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the methods provided by the above-described method embodiments.

The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.

It should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for 5G site planning, comprising:

2. The 5G site planning method of claim 1, wherein the determining a weak coverage sub-area in the target area based on the 5G coverage data comprises:

3. The 5G site planning method of claim 1, wherein the determining the 5G coverage data corresponding to the target area based on the 4G existing network coverage data comprises:

4. A 5G site planning method according to claim 3, wherein said determining a beam difference between the 4G network and the 5G network comprises:

5. A 5G site planning method according to claim 3, wherein the determining the 5G coverage data corresponding to the target area based on the 4G existing network coverage data comprises:

6. The 5G site planning method of claim 1, wherein after determining whether a second sub-cluster region exists in the first cluster sub-region, further comprising:

7. The 5G site planning method of claim 3, wherein the determining the 5G coverage data corresponding to the target area based on the 4G existing network coverage data further comprises:

8. The 5G site planning method of claim 1, wherein after determining 5G site planning information based on the site cluster sub-regions, further comprising:

9. The 5G site planning device is characterized by comprising a weak coverage determining module, a clustering processing module and a site planning module, wherein:

10. The 5G site planning apparatus of claim 9, wherein the weak coverage determination module is configured to:

11. The 5G site planning apparatus of claim 9, wherein the weak coverage determination module is configured to:

12. The 5G site planning apparatus of claim 11, wherein the weak coverage determination module is configured to:

13. The 5G site planning apparatus of claim 11, wherein the weak coverage determination module is configured to:

14. The 5G site planning apparatus of claim 9, wherein the cluster processing module is configured to:

15. The 5G site planning apparatus of claim 11, wherein the cluster processing module is further configured to:

16. The 5G site planning apparatus of claim 9 further comprising a parameter determination module for:

17. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the 5G site planning method of any of claims 1 to 8 when the program is executed by the processor.

18. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor implements a 5G site planning method according to any of claims 1 to 8.