阅读说明：本技术 三元约束5g pci规划方法、装置及存储介质 (Ternary constrained 5G PCI planning method and device and storage medium ) 是由 古炳松 高利府 李桂林 李苑添 李晓辉 于 2021-10-18 设计创作，主要内容包括：本申请公开了一种基于邻区间正对系数与圈层数的三元约束5G PCI规划方法、装置及存储介质,用于提高物理小区标识PCI的分配效率和准确度。本申请公开的物理小区标识的规划方法包括：确定待规划物理小区集合；根据物理小区经纬度信息确定第二约束条件；根据小区圈层数确定第三约束条件；根据所述第二约束条件和第三约束条件确定加权约束值；根据所述加权约束值对所述待规划物理小区集合中的物理小区进行PCI规划。本申请还提供了一种物理小区标识的规划装置及存储介质。(The application discloses a ternary constraint 5G PCI planning method, a ternary constraint 5G PCI planning device and a storage medium based on a direct coefficient and a number of circle layers between adjacent intervals, and the method, the device and the storage medium are used for improving the distribution efficiency and accuracy of Physical Cell Identification (PCI). The planning method of the physical cell identifier disclosed by the application comprises the following steps: determining a physical cell set to be planned; determining a second constraint condition according to the longitude and latitude information of the physical cell; determining a third constraint condition according to the number of layers of the cell circle; determining a weighted constraint value according to the second constraint condition and the third constraint condition; and performing PCI planning on the physical cells in the physical cell set to be planned according to the weighted constraint value. The application also provides a planning device and a storage medium for the physical cell identifier.)

1. A ternary constraint 5G PCI planning method based on a facing coefficient and the number of layers of rings in an adjacent interval is characterized by comprising the following steps:

determining a physical cell set to be planned;

determining a second constraint condition according to the longitude and latitude information of the physical cell;

the determining of the second constraint condition according to the latitude and longitude information of the physical cell comprises the following steps:

for two adjacent first cells A and second cells B, determining a second constraint condition according to the following steps:

determining the center coordinate of the first cell A according to the latitude and longitude information of the cellAnd center coordinates of the second cell B(ii) a Calculate the firstDistance between a cell A and a second cell BAnd a radius r;

calculating the distance between the direction angle intersection point a of the first cell A and the direction angle intersection point B of the second cell B；

Calculating a direct alignment coefficient DC of the first cell A and the second cell B; determining a second constraint condition according to the positive alignment coefficient DC;

wherein the content of the first and second substances,，

，

，

，

wherein the content of the first and second substances,is the center point coordinate of the first cell a,is the center point coordinate of the second cell B,is the coordinates of the point a in question,is the coordinate of the point b;

the second constraint V1 is: v1= 1-DC;

determining a third constraint condition according to the number of layers of the cell circle;

the determining the third constraint condition according to the cell circle layer number includes:

solving the circle layer number X of the cell according to a triangulation method, and determining a third constraint condition according to the circle layer number X of the cell;

wherein the third constraint condition is:；

determining a weighted constraint value from the second constraint and a third constraint comprises:

determining a weighted constraint value T according to the following formula:

T=V1*V2；

wherein V1 is the second constraint and V2 is the third constraint;

and performing PCI planning on the physical cells in the physical cell set to be planned according to the weighted constraint value.

2. The method of claim 1, wherein the determining the set of physical cells to be planned comprises:

acquiring a neighbor relation table;

and setting the cells with PCI conflict in the neighbor cell relation table as a physical cell set to be planned.

3. The method of claim 2, wherein the presence of the PCI conflict comprises:

the PCI is the same between adjacent cells.

4. The method of claim 1, wherein the direction angle intersection a of the first cell A is the direction angle of the first cell AIs the intersection point of circles with the circle center radius of r, and the direction angle intersection point B of the second cell B is the intersection point of the direction angle of the second cell B and theIs the intersection point of circles with the circle center radius r.

5. The method of claim 4, comprising:

coordinates of the direction angle intersection point a of the first cell ACoordinates of a direction angle intersection point B with the second cell BDetermined by the following formula:

，

，

，

，

wherein the content of the first and second substances,is the direction angle of the first cell a,is the directional angle of the second cell B.

6. The method of claim 1, wherein the PCI planning for the physical cells in the set of physical cells to be planned according to the weighted constraint values comprises:

the cell with the large weighting constraint value is high in planning priority, and the cell with the small weighting constraint value is low in planning priority.

7. An apparatus for planning physical cell identity, comprising:

a first determining module configured to determine a set of physical cells to be planned;

a second determining module configured to determine a second constraint condition according to the latitude and longitude information of the physical cell; the determining of the second constraint condition according to the latitude and longitude information of the physical cell comprises the following steps:

for two adjacent first cells A and second cells B, determining a second constraint condition according to the following steps:

determining the center coordinate of the first cell A according to the latitude and longitude information of the cellAnd center coordinates of the second cell B；

Calculating the distance between the first cell A and the second cell BAnd a radius r;

calculating the distance between the direction angle intersection point a of the first cell A and the direction angle intersection point B of the second cell B;

Calculating a direct alignment coefficient DC of the first cell A and the second cell B;

determining a second constraint condition according to the positive alignment coefficient DC;

wherein the content of the first and second substances,，

，

，

，

wherein the content of the first and second substances,is the center point coordinate of the first cell a,is the center point coordinate of the second cell B,is the coordinates of the point a in question,is the coordinate of the point b;

the second constraint V1 is: v1= 1-DC;

a third determining module configured to determine a third constraint condition according to the cell circle layer number;

the determining the third constraint condition according to the cell circle layer number includes:

solving the circle layer number X of the cell according to a triangulation method, and determining a third constraint condition according to the circle layer number X of the cell;

wherein the third constraint condition is:；

determining a weighted constraint value from the second constraint and a third constraint comprises:

determining a weighted constraint value T according to the following formula:

T=V1*V2；

wherein V1 is the second constraint condition, and V2 is the third constraint condition

A weighted constraint value determination module configured to determine a weighted constraint value according to the second constraint condition and a third constraint condition, comprising:

determining a weighted constraint value T according to the following formula:

T=V1*V2；

wherein V1 is the second constraint and V2 is the third constraint;

and the planning module is configured to perform PCI planning on the physical cells in the physical cell set to be planned according to the weighted constraint value.

8. An apparatus for planning physical cell identity, comprising a memory, a processor, and a user interface;

the memory for storing a computer program;

the user interface is used for realizing interaction with a user;

the processor, which is configured to read the computer program stored in the memory, and when the processor executes the computer program, implements the planning method according to one of claims 1 to 6.

9. A processor-readable storage medium, characterized in that the processor-readable storage medium stores a computer program which, when executed by a processor, implements a planning method according to one of claims 1 to 6.

Technical Field

The application relates to the technical field of communication, in particular to a ternary constraint 5G PCI planning method and device based on a direct coefficient and the number of ring layers of an adjacent interval and a storage medium.

Background

The coverage area of the 5G network is obviously reduced compared with that of the 4G network due to the influence of the ultrahigh frequency of the network, and the distance between two stations in the urban area is about 200 meters. A seamless strong-signal wireless network is constructed, and a 5G base station must be constructed in ultrahigh density, which brings about a serious overlapping coverage problem and causes the problem of network self-interference to be more serious. The wireless network self-interference is mainly caused by unreasonable allocation of Physical Cell Identity (PCI) of a 5G Cell, and PCI collision and confusion phenomena are easily caused between adjacent cells, so that strong interference is generated. For a mobile phone user, the communication connection is directly influenced, and phenomena of call drop, network card pause, webpage opening incapability and the like are generated.

In the prior art, the PCI planning efficiency is low, the convergence speed is low, and the accuracy is insufficient.

Disclosure of Invention

In view of the foregoing technical problems, embodiments of the present application provide a method, an apparatus, and a storage medium for planning a physical cell identifier, so as to improve efficiency and accuracy of PCI planning and improve convergence speed.

In a first aspect, a ternary constraint 5G PCI planning method based on a facing coefficient and a number of layers of rings in an adjacent interval provided in an embodiment of the present application includes:

determining a physical cell set to be planned;

determining a second constraint condition according to the longitude and latitude information of the physical cell;

determining a third constraint condition according to the number of layers of the cell circle;

determining a weighted constraint value according to the second constraint condition and the third constraint condition;

and performing PCI planning on the physical cells in the physical cell set to be planned according to the weighted constraint value.

Preferably, the determining the set of physical cells to be planned includes:

acquiring a neighbor relation table;

and setting the cells with PCI conflict in the neighbor cell relation table as a physical cell set to be planned.

Preferably, the existence of the PCI conflict includes:

the PCI is the same between adjacent cells.

Preferably, the determining the second constraint condition according to the latitude and longitude information of the physical cell includes:

for two adjacent first cells A and second cells B, determining a second constraint condition according to the following steps:

determining the center coordinate of the first cell A according to the latitude and longitude information of the cellAnd center coordinates of the second cell B；

Calculating the distance between the first cell A and the second cell BAnd a radius r;

calculating the distance between the direction angle intersection point a of the first cell A and the direction angle intersection point B of the second cell B；

Calculating a direct alignment coefficient DC of the first cell A and the second cell B;

determining a second constraint condition according to the positive alignment coefficient DC;

wherein the content of the first and second substances,，

，

，

，

wherein the content of the first and second substances,is the center point coordinate of the first cell a,is the center point coordinate of the second cell B,is the coordinates of the point a in question,is the coordinate of the point b;

the second constraint V1 is: v1= 1-DC.

Wherein the direction angle intersection point a of the first cell A is the direction angle of the first cell AIs the intersection point of circles with the circle center radius of r, and the direction angle intersection point B of the second cell B is the intersection point of the direction angle of the second cell B and theIs the intersection point of circles with the circle center radius r.

Preferably, the coordinates of the direction angle intersection point a of the first cell aCoordinates of a direction angle intersection point B with the second cell BDetermined by the following formula:

，

，

，

，

wherein the content of the first and second substances,is the direction angle of the first cell a,is the directional angle of the second cell B.

Preferably, in the present invention, the determining the third constraint condition according to the number of layers of the cell circle includes:

solving the circle layer number X of the cell according to a triangulation method, and determining a third constraint condition according to the circle layer number X of the cell;

wherein the third constraint condition is:

。

preferably, in the present invention, the determining a weighted constraint value according to the second constraint condition and the third constraint condition includes:

determining a weighted constraint value T according to the following formula:

T=V1*V2；

wherein V1 is the second constraint and V2 is the third constraint.

Preferably, in the present invention, the performing PCI planning on the physical cells in the physical cell set to be planned according to the weighted constraint value includes:

the cell with the large weighting constraint value is high in planning priority, and the cell with the small weighting constraint value is low in planning priority.

The planning method of the physical cell identifier provided by the invention can accurately judge whether the antenna coverage directions between a pair of ridge cells have strong correlation or not, can be applied to any 5G PCI planning system method and interference matrix data modeling, strongly restricts the planning result, reduces irrelevant adjacent cells from entering the planning sequence, improves the weight of the strongly relevant adjacent cells, and plans the planning sequence in advance. Accurate data support is provided for PCI planning data modeling, the operation efficiency of the system can be accelerated, and the result of intelligent PCI distribution is faster to carry out constraint convergence.

In a second aspect, an embodiment of the present application further provides a device for planning a physical cell identifier, including:

a first determining module configured to determine a set of physical cells to be planned;

a second determining module configured to determine a second constraint condition according to the latitude and longitude information of the physical cell;

a third determining module configured to determine a third constraint condition according to the cell circle layer number;

a weighted constraint value determination module configured to determine a weighted constraint value according to the second constraint condition and a third constraint condition;

and the planning module is configured to perform Physical Cell Identity (PCI) planning on the physical cells in the physical cell set to be planned according to the weighted constraint value.

In a third aspect, an embodiment of the present application further provides a device for planning a physical cell identifier, including: a memory, a processor, and a user interface;

the memory for storing a computer program;

the user interface is used for realizing interaction with a user;

the processor is configured to read the computer program in the memory, and when the processor executes the computer program, the method for planning the physical cell identifier provided by the present invention is implemented.

In a fourth aspect, an embodiment of the present invention further provides a processor-readable storage medium, where the processor-readable storage medium stores a computer program, and when the processor executes the computer program, the processor implements the method for planning a physical cell identifier according to the present invention.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a schematic diagram illustrating a physical cell identity PCI in the prior art;

FIG. 2 is a diagram illustrating PCI conflicts and re-planning in the prior art;

FIG. 3 is a diagram illustrating PCI conflicts and re-planning in the prior art;

fig. 4 is a schematic diagram of a method for planning a physical cell identifier according to an embodiment of the present application;

fig. 5 is a schematic diagram of calculating a neighboring cell distance according to an embodiment of the present application;

FIG. 6 is a schematic diagram of calculating a second constraint provided in the embodiment of the present application;

fig. 7 is a schematic diagram of cell plane point set triangulation provided in the embodiment of the present application;

fig. 8 is a schematic diagram of calculating a cell circle level according to an embodiment of the present disclosure;

fig. 9 is a schematic structural diagram of a physical cell identifier planning apparatus according to an embodiment of the present application;

fig. 10 is a schematic structural diagram of another physical cell identifier planning apparatus according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Some of the words that appear in the text are explained below:

1. the term "and/or" in the embodiments of the present invention describes an association relationship of associated objects, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.

2. In the embodiments of the present application, the term "plurality" means two or more, and other terms are similar thereto.

3. PCI, an abbreviation for Physical Cell ID, Physical Cell identity;

4. GIS, abbreviation of Geographic Information System, i.e. Geographic Information System;

5. the adjacent cells refer to two adjacent cells;

6. the work parameter table refers to a table containing the contents of longitude and latitude, azimuth, station height, frequency point and the like of a 5G cell.

In a 5G system, there are 1008 PCIs, and the set of all PCIs is divided into 168 groups (corresponding to the range of 0-335 in the protocol 38.211), each group containing 3 cell IDs. As shown in fig. 1, each PCI is composed of Primary Synchronization Signal, PSS, and Secondary Synchronization Signal, SSS:

，

wherein the content of the first and second substances,is PCI;the auxiliary synchronization signal is a value range of 0-335;is a main synchronization signal, takes valuesIs 0,1 and 2.

The influence of Mode (MOD) must be considered during PCI planning to reduce mutual interference. For example, PCI MOD3, PCI =25 and 28 exist in the neighbor cells, and their MOD (3) values are both 1, and this neighbor cell pair is MOD3 interference. Specifically, the method comprises the following steps:

PCI Mod3, PCI Mod3 principle, since PCI is generated by PSS; only 3 PSSs (0, 1, 2) in the network are recycled; the "PCI modulo 3" of a cell is equal, as is its PSS. This will affect the UE's identification of the cell and channel estimation errors, which will affect synchronization and user perception;

PCI Mod 4, PCI Mod 4 principle, due to DMRS at PBCH channel subcarrier locations; the position of the subcarrier carrying the DMRS follows the principle of dividing by 4; if the PCI division 4 results between adjacent intervals are the same, the DMRSs thereof interfere with each other (the positions on the SSBs are the same-the interference is caused by each other).

PCI Mod 30, modulo 30, DMRS and SRS on PUCCH/PUSCH are all generated according to ZC sequence, each root has 30 groups; their roots are all PCI related; therefore, the adjacent cells cannot have the same PCI except 30, otherwise uplink interference is generated among the cells.

In the PCI planning, the following two kinds of conflicts and confusion exist, and in the embodiment of the present invention, the PCI conflict includes a PCI collision and a PCI confusion:

(1) PCI collision

As shown in the left diagram of fig. 2, the same PCI cannot be used between adjacent cells, if the adjacent cells use the same PCI, the coverage area is crossed, only one cell can be synchronized in the initial (cell) search, and this scenario is called collision; PCI collision will delay the downlink synchronization of the UE in the overlapping coverage area, causing network problems such as high block error rate, physical channel decoding failure, handover failure, etc. The use of physically separated PCIs can avoid the need for increasing the PCI multiplexing distance when the UE receives multiple (same PCI) cell signals, as shown in the right diagram of fig. 2.

(2) PCI confusion

As shown in the left diagram of fig. 3, two neighboring cells cannot use the same PCI, and when the PCIs are the same, the base station where the UE is handed in will confuse the target cell and confuse the target cell. The method for avoiding this situation physically is to increase the number of PCI multiplexing layers, as shown in the right diagram of fig. 3.

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that the display sequence of the embodiment of the present application only represents the sequence of the embodiment, and does not represent the merits of the technical solutions provided by the embodiments.

Example one

Referring to fig. 4, a schematic diagram of a method for planning a physical cell identifier according to an embodiment of the present application is shown in fig. 4, where the method includes steps S401 to S405:

s401, determining a physical cell set to be planned;

s402, determining a second constraint condition according to the latitude and longitude information of the physical cell;

s403, determining a third constraint condition according to the number of layers of the cell circle;

s404, determining a weighted constraint value according to the second constraint condition and the third constraint condition;

s405, PCI planning is carried out on the physical cells in the physical cell set to be planned according to the weighted constraint value.

In this embodiment of the present invention, the determining a set of physical cells to be planned includes:

acquiring a neighbor relation table; and setting the cells with PCI conflict in the neighbor cell relation table as a physical cell set to be planned. Specifically, the neighbor relation table is preset.

For example, the following table is a neighbor relation table:

in the method, a neighbor relation table is obtained, the cell to be planned matches the neighbor cell needing to avoid PCI conflict in the neighbor relation table, the tag which can be matched with the neighbor cell pair (namely, PCI conflict does not exist) is 1, and the tag which can not be matched (namely, PCI conflict exists) is 0. The cells which are not in the adjacent cell relation table show that the correlation between the two adjacent cells is low, and the planning effect is not influenced. The constraint condition is recorded as a V0 value, and when the value of the constraint condition V0 is 1 in the PCI planning process, the PCI collision and confusion condition is not allowed to occur; when the value of V0 is 0, multiplexing planning with the PCI value needs to be performed, that is, the cells in the neighboring cell relation table where PCI conflicts exist are set as a physical cell set to be planned.

As a preferable example, in this embodiment S402, the determining the second constraint condition according to the latitude and longitude information of the physical cell includes:

for two adjacent first cells A and second cells B, determining a second constraint condition according to the following steps:

determining the center coordinate of the first cell A according to the latitude and longitude information of the cellAnd center coordinates of the second cell B；

Calculating the distance between the first cell A and the second cell BAnd a radius r;

calculating the distance between the direction angle intersection point a of the first cell A and the direction angle intersection point B of the second cell B;

Calculating a direct alignment coefficient DC of the first cell A and the second cell B;

determining a second constraint condition according to the positive alignment coefficient DC;

wherein the content of the first and second substances,，

，

，

，

wherein the content of the first and second substances,is the center point coordinate of the first cell a,is the center point coordinate of the second cell B,is the coordinates of the point a in question,is the coordinate of the point b;

the second constraint V1 is: v1= 1-DC.

As a preferred example, the direction angle intersection point a of the first cell a is the direction angle of the first cell aIs the intersection point of circles with the circle center radius of r, and the direction angle intersection point B of the second cell B is the intersection point of the direction angle of the second cell B and theIs the intersection point of circles with the circle center radius r.

Coordinates of the direction angle intersection point a of the first cell ACoordinates of a direction angle intersection point B with the second cell BDetermined by the following formula:

，

，

，

，

wherein the content of the first and second substances,is the direction angle of the first cell a,is the directional angle of the second cell B.

Next, the step S402 will be further described with reference to fig. 5. Assuming that the cell to be planned is CELLA and the adjacent cell is CELLB, extracting the cell name and longitude and latitude from the 5G base station work-parameter tableAndthe second constraint V1 is then calculated by:

the examples of the work parameter table are as follows:

step A1: calculating the distance between the first cell A and the second cell BAnd radius r, i.e.:

，

namely, it is，

Step A2: the direction angle of the first cell A isThe direction angle of the second cell B is. a is the direction angle of the first cell A andis the intersection point of circles with the circle center radius r and the coordinate isB is the direction angle of the second cell B andis the intersection point of circles with the circle center radius r. For example, in FIG. 5, the first cell A has a directional angle of60 degrees, the second cell B has a directional angle ofIs 330 degrees. The coordinates of the points a and b are calculated by the following formula:

，

，

，

。

step A3: calculating the distance between the point a and the point b:

，

step A4: the positive facing coefficient DC of the first cell a and the second cell B is calculated.

。

It is noted thatNormalization processing is carried out, namely the formula is obtained。

It should be noted that the smaller the DC value is, the larger the correlation between CELLA and CELLB is; the larger the DC value, the smaller the correlation between CELLA and CELLB; for example, as shown in FIG. 6, if CELLB has 5 azimuth angles of b, e, f, g, h, the distance of each azimuth angle is calculatedWhereinThe value is smallest, i.e. the correlation of the direction angle with the cell to be planned is largest.

As a preferable example, in this embodiment S403, the determining the third constraint condition according to the number of cell circle layers includes:

step B1: calculating the number of cell circle layers;

step B2: the third constraint V2 is calculated from the cell circle layer number.

XXX．

Specifically, specific examples are given below.

Step B1: and calculating the number of cell circle layers.

Firstly, a 5G base station work parameter table is extracted, and a two-dimensional digital map is generated on a GIS map. Wherein, the p point (i.e. the point to be planned) is generated by the longitude and Latitude (Latitude) of the cell in the work parameter table. Setting a cell to be planned as an originAnd obtaining a point set S, as a preferred example, using triangulation to obtain all cells to be plannedAdjacent sites ofThe circle layer number of (d); for all points in a given set S of points on a two-dimensional planeConnected by mutually non-intersecting straight line segmentsAndwherein, in the step (A),，and each region within the convex hull of the point set is a triangle, as shown in fig. 7.

Secondly, dividing the first layer of cells, preferably drawing a triangulation network according to a Delaunay triangulation method, and obtaining the current cell to be plannedWith neighbouring cellsConstructing the shortest distance edges in the Delaunay triangleThen the cellIs thatThe first ring of cells.

Then, the cells of the second circle are divided, as shown in figure 8,and、the first triangle is formed, and the second triangle is formed,andare all first circle cells. Then is provided with，，A new triangle is formed and the shape of the triangle,namely the 2 nd circle cell. In the same way、、The new triangle of (a) is,also the 2 nd cell. One side of the first triangle is used for extension to form a triangle of the second circle.

Until all cells are divided, an S point set is finally formed, each adjacent cell is labeled according to the circle layers divided by the p points of the adjacent cell, and an adjacent cell circle layer number array of the cell to be planned, namely a cell ID array, is generatedCorresponding cell circle number arrayI.e. cellThe number of cell circle layers isCell ofCell circle layer number ofIs composed ofCell ofThe number of cell circle layers is。

Step B2: and calculating a third constraint condition V2 according to the cell circle layer number:

the third constraint V2 is:

，

wherein the content of the first and second substances,。

as a preferable example, in S404 of this embodiment, determining a weighted constraint value according to the second constraint and the third constraint includes:

determining a weighted constraint value T according to the following formula:

T=V1*V2；

wherein V1 is the second constraint and V2 is the third constraint.

It should be noted that, the larger the weighted constraint value T is, the larger the correlation between adjacent cells is; the smaller the weight constraint value T, the smaller the correlation between adjacent cells. And (4) increasing the weight of the strongly correlated adjacent cells, and planning the planning sequence before the planning sequence. Accurate data support is provided for PCI planning data modeling, the operation efficiency of the system can be accelerated, and the result of intelligent PCI distribution is faster to carry out constraint convergence.

Example two

Based on the same inventive concept, an embodiment of the present invention further provides a device for planning a physical cell identity PCI, as shown in fig. 9, where the device includes:

a first determining module 901 configured to determine a set of physical cells to be planned;

a second determining module 902 configured to determine a second constraint condition according to the latitude and longitude information of the physical cell;

a third determining module 903, configured to determine a third constraint condition according to the cell circle layer number;

a weighted constraint value determination module 904 configured to determine a weighted constraint value according to the second constraint and the third constraint;

a planning module 905 configured to perform physical cell identity PCI planning on physical cells in the physical cell set to be planned according to the weighted constraint value.

It should be noted that, the first determining module 901 provided in this embodiment can implement all the functions included in step S401 in the first embodiment, solve the same technical problem, and achieve the same technical effect, which is not described herein again;

it should be noted that, the second determining module 902 provided in this embodiment can implement all the functions included in step S402 in the first embodiment, solve the same technical problem, and achieve the same technical effect, which is not described herein again;

it should be noted that, the third determining module 903 provided in this embodiment can implement all the functions included in step S403 in the first embodiment, solve the same technical problem, and achieve the same technical effect, which is not described herein again;

it should be noted that, the weighted constraint value determining module 904 provided in this embodiment can implement all functions included in step S404 in the first embodiment, solve the same technical problem, achieve the same technical effect, and is not described herein again;

it should be noted that the planning module 905 provided in this embodiment can implement all the functions included in step S405 in the first embodiment, solve the same technical problem, and achieve the same technical effect, which is not described herein again.

It should be noted that the apparatus provided in the second embodiment and the method provided in the first embodiment belong to the same inventive concept, solve the same technical problem, and achieve the same technical effect, and the apparatus provided in the second embodiment can implement all the methods of the first embodiment, and the same parts are not described again.

EXAMPLE III

Based on the same inventive concept, an embodiment of the present invention further provides a device for planning a physical cell identity PCI, as shown in fig. 10, where the device includes:

including memory 1002, processor 1001, and user interface 1003;

the memory 1002 is used for storing computer programs;

the user interface 1003 is used for realizing interaction with a user;

the processor 1001 is configured to read the computer program in the memory 1002, and when the processor 1001 executes the computer program, the processor implements:

determining a physical cell set to be planned;

determining a second constraint condition according to the longitude and latitude information of the physical cell;

determining a third constraint condition according to the number of layers of the cell circle;

determining a weighted constraint value according to the second constraint condition and the third constraint condition;

and performing PCI planning on the physical cells in the physical cell set to be planned according to the weighted constraint value.

Where in fig. 10 the bus architecture may include any number of interconnected buses and bridges, with one or more processors, represented by the processor 1001, and various circuits, represented by the memory 1002, being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The processor 1001 is responsible for managing the bus architecture and general processing, and the memory 1002 may store data used by the processor 1001 in performing operations.

The processor 1001 may be a CPU, an ASIC, an FPGA, or a CPLD, and the processor 1001 may also adopt a multi-core architecture.

The processor 1001, when executing the computer program stored in the memory 1002, implements the method for planning any physical cell identity PCI in the first embodiment.

It should be noted that the apparatus provided in the third embodiment and the method provided in the first embodiment belong to the same inventive concept, solve the same technical problem, and achieve the same technical effect, and the apparatus provided in the third embodiment can implement all the methods of the first embodiment, and the same parts are not described again.

The present application also proposes a processor-readable storage medium. The processor-readable storage medium stores a computer program, and the processor implements the method for planning any physical cell identity PCI in the first embodiment when executing the computer program.

It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation. In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.