A method and apparatus for network parameter planning

Abstract

Embodiments of the present application provide a network parameter planning method and device, the method comprises: determining the coordinate sequence of the coverage area block of the cell of the 5G base station according to the spatial topology distribution of the 5G base station in the network, determining the adjacent area block sequence of the coverage area block of the cell of the current 5G base station according to the coordinate sequence, determining the 5G base station adjacent cell sequence according to the adjacent area block sequence, and processing the PCI sequence configured for the 5G base station adjacent cell sequence to determine the target processing result from the processing result sequence, determining the target cell sequence from the 5G base station adjacent cell sequence according to the target processing result, and determining the shortest path sequence between the cell of the current 5G base station and the target cell sequence, determining the shortest distance sequence according to the shortest path sequence, determining the target shortest distance from the shortest distance sequence, and planning the PCI of the current 5G base station, which realizes the planning of the PCI parameter in the 5G base station.

Description

Technical Field

[0001] This invention relates to the field of communications, and in particular to a method and apparatus for network parameter planning. Background Technology

[0002] The PCI (Physical Cell Identifier) ​​is a physical cell identifier used in 5G networks to distinguish the radio signals of different 5G base stations (gNBs, the next generation Node B). As the unique air interface identifier of a 5G base station (gNB), the PCI is discovered by receiving the radio signal from the 5G base station and then reported to the current 5G base station (gNB). Based on the reported PCI, the current 5G base station (gNB) finds the target base station (gNB) from the corresponding neighbor cell relationship, thus enabling subsequent handover and other operations.

[0003] To retrieve and measure the signal of a 5G base station (gNB), a Reference Signal (RS) needs to be inserted into the gNB's radio signal. This RS is used to detect and measure the radio signal quality of the 5G base station. The frequency domain position of the gNB's RS is determined by the PCI modulo 4 result. When multiple clustered 5G base station gNBs have the same PCI modulo 4, RS collisions will occur, causing a degrade in the gNB's radio signal quality. Summary of the Invention

[0004] In view of the above problems, a method and apparatus for network parameter planning are proposed to overcome or at least partially solve the above problems, comprising:

[0005] A method for network parameter planning, the method comprising:

[0006] Based on the spatial topology distribution of 5G base stations in the network, determine the coordinate sequence of the coverage area blocks of the cells of the 5G base stations in the network;

[0007] Based on the coordinate sequence of the coverage area blocks of the 5G base station cells in the network, determine the adjacent area block sequence of the coverage area block of the current 5G base station cell;

[0008] Based on the adjacent area block sequence of the coverage area block of the current 5G base station cell, the adjacent cell sequence of the 5G base station is determined, and the PCI sequence configured in the adjacent cell sequence of the 5G base station is processed to determine the target processing result from the processing result sequence.

[0009] Based on the target processing result, a target cell sequence is determined from the neighboring cell sequence of the 5G base station, and the shortest path sequence between the current 5G base station cell and the target cell sequence is determined.

[0010] Based on the shortest path sequence, determine the shortest distance sequence;

[0011] From the shortest distance sequence, a target shortest distance is determined, and the PCI of the current 5G base station is planned based on the target shortest distance.

[0012] Optionally, determining the shortest distance sequence based on the shortest path sequence includes:

[0013] Based on the target processing results, select the target PCI sequence from all PCIs;

[0014] The shortest distance sequence is determined based on the shortest path sequence, the cell of the current 5G base station, and the target PCI sequence.

[0015] Optionally, the shortest distance in the shortest distance sequence is the minimum value in the shortest path sequence.

[0016] Optionally, determining the target processing result from the processing result sequence includes:

[0017] According to the preset processing method, the PCI sequence configured for the adjacent cell sequence of the 5G base station is processed to obtain the processing result sequence;

[0018] From the sequence of processing results, select the target processing result that appears the least.

[0019] Optionally, the preset processing method includes:

[0020] Modulo 4 processing.

[0021] Optionally, the coordinate sequence of the coverage area blocks of the 5G base station cells in the network includes:

[0022] Coordinate sequence of the coverage area block of s1 cell of 5G base station in the network

[0023] Optionally, the coordinate sequence of the coverage area blocks of the 5G base station cells in the network further includes:

[0024] The coordinate sequence of the coverage area block of a single cell of a 5G base station in the network.

[0025] An apparatus for network parameter planning, the apparatus being used for:

[0026] Based on the spatial topology distribution of 5G base stations in the network, determine the coordinate sequence of the coverage area blocks of the cells of the 5G base stations in the network;

[0027] Based on the coordinate sequence of the coverage area blocks of the 5G base station cells in the network, determine the adjacent area block sequence of the coverage area block of the current 5G base station cell;

[0028] Based on the adjacent area block sequence of the coverage area block of the current 5G base station cell, the adjacent cell sequence of the 5G base station is determined, and the PCI sequence configured in the adjacent cell sequence of the 5G base station is processed to determine the target processing result from the processing result sequence.

[0029] Based on the target processing result, a target cell sequence is determined from the neighboring cell sequence of the 5G base station, and the shortest path sequence between the current 5G base station cell and the target cell sequence is determined.

[0030] Based on the shortest path sequence, determine the shortest distance sequence;

[0031] From the shortest distance sequence, a target shortest distance is determined, and the PCI of the current 5G base station is planned based on the target shortest distance.

[0032] An electronic device includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the network parameter planning method as described above.

[0033] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the method for network parameter planning as described above.

[0034] The embodiments of the present invention have the following advantages:

[0035] In this embodiment of the invention, the coordinate sequence of the coverage area blocks of the 5G base station cells in the network is determined based on the spatial topology distribution of the 5G base stations in the network. Based on the coordinate sequence of the coverage area blocks of the 5G base station cells in the network, the sequence of adjacent area blocks of the current 5G base station cell's coverage area block is determined. Based on the sequence of adjacent area blocks of the current 5G base station cell's coverage area block, the sequence of adjacent cells of the 5G base station is determined. The PCI sequence configured in the sequence of adjacent cells of the 5G base station is processed to determine the target processing result from the processing result sequence. Based on the target processing result, the target cell sequence is determined from the sequence of adjacent cells of the 5G base station, and the shortest path sequence between the current 5G base station cell and the target cell sequence is determined. Based on the shortest path sequence, the shortest distance sequence is determined. Based on the shortest distance sequence, the target shortest distance is determined. Based on the target shortest distance, the PCI of the current 5G base station is planned, realizing the planning of PCI parameters in the 5G base station, reducing PCI conflicts, and improving communication quality. Attached Figure Description

[0036] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the description of the present invention will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a flowchart illustrating the steps of a network parameter planning method according to an embodiment of the present invention;

[0038] Figure 2a This is a schematic diagram of a 5G base station cell according to an embodiment of the present invention;

[0039] Figure 2b This is a schematic diagram of another 5G base station cell provided in an embodiment of the present invention;

[0040] Figure 2c This is a schematic diagram of another 5G base station cell provided in an embodiment of the present invention;

[0041] Figure 2d This is a schematic diagram of another 5G base station cell provided in an embodiment of the present invention;

[0042] Figure 2e This is a schematic diagram of another 5G base station cell provided in an embodiment of the present invention;

[0043] Figure 2f This is a schematic diagram of another 5G base station cell provided in an embodiment of the present invention;

[0044] Figure 2g This is a schematic diagram of another 5G base station cell provided in an embodiment of the present invention;

[0045] Figure 2h This is a schematic diagram of another 5G base station cell provided in an embodiment of the present invention;

[0046] Figure 2i This is a schematic diagram of another 5G base station cell provided in an embodiment of the present invention. Detailed Implementation

[0047] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0048] In 5G networks, there are only 1008 PCIs. With tens of thousands of 5G base stations (gNBs), the PCI reuse probability is very high. To ensure the quality of 5G networks, reduce the PCI reuse probability, and decrease the probability of simultaneous RS slots (same PCI modulo 4) between adjacent 5G base stations, reasonable PCI planning is required. Reasonable PCI planning can not only enable the current 5G base station to quickly locate the correct target 5G base station based on the reported PCI, but also reduce signal interference between adjacent 5G base stations and improve network quality.

[0049] In this embodiment of the invention, based on the geographic spatial distribution of 5G base station gNBs, the coverage area of ​​gNBs and the list of adjacent gNBs are calculated according to the topology map. The PCI with the largest PCI reuse distance is calculated using the shortest path rule, and the most reasonable PCI is planned according to the PCI modulo 4 minimum probability rule.

[0050] Specifically, it can include the following processes:

[0051] 1. Based on the current location information of the 5G base station gNB cell and the spatial topology distribution of the surrounding 5G base station gNB cells, the coverage area block coordinate sequence of all 5G base station gNB cells in the entire network is calculated using the coverage area block model of the 5G base station gNB.

[0052] 2. Establish a coverage area block adjacency evaluation model for 5G base station gNB cells. Based on the coordinate sequence {} data of the coverage area blocks of all 5G base station gNB cells in the network, calculate the s of each 5G base station gNB cell. x The corresponding coverage area block s x_cell adjacent region block sequence For example, the coverage area block corresponding to 5G base station gNB cell s1 is s 1_cell Adjacent region block sequence

[0053] 3. Based on the sequence of adjacent region blocks Determine the corresponding 5GgNB cell sequence {}, referred to as the 5GgNB neighbor cell sequence {}. Based on the 5G PCI sequence configured in the 5GgNB neighbor cell sequence {}, calculate the PCI modulo 4 processing in the PCI sequence {} to obtain the modulo sequence with the fewest occurrences. x

[0054] 4. Establish 5G gNB two-cell clusters {s x T y The shortest path evaluation model is based on the sequence of adjacent regions and blocks across the entire network. Calculate cell {s x T y Shortest path between} For example, the shortest path between two cells {s1, T1} in a 5GgNB.

[0055] 5. Taking cell s1 of 5GgNB as an example, establish a connection between 5GgNB source cell s1 and PCI=pci. x According to the 3GPP 38.211 7.4.2 protocol, the shortest distance model defines 1008 PCIs for 5G networks. For the 5G gNB source cell s1, the PCI = pci is derived. x The corresponding N target 5G gNB cells across the entire network form the target cell sequence T. x {}.

[0056] According to the pairwise neighborhood {s x T y The shortest path evaluation model calculates the sequence T between the source cell s1 and the 5G gNB target cell. x {}, the distances of the N shortest paths Form the shortest path sequence:

[0057]

[0058] shortest path sequence Minimum value in {} Let PCI = pci be the corresponding PCI of source cell s1. x shortest distance

[0059] 6. From 1008 PCIe codes, select n codes that satisfy PCIe modulo 4 = modulo 4.x 5G PCI, composition The sequence is based on the 5GgNB source cell s1 and a single PCI=pci. x The shortest distance model is used for iterative calculations to determine the source cell s1 and s2 respectively. The shortest distance sequence corresponding to the sequence:

[0060]

[0061]

[0062] 7. From In the sequence, select the maximum value: Then the corresponding Calculate pci y Thus, a plan is designed to satisfy {PCI} y Modulo 4 = Modulo x and Maximum pci y Thus, a suitable PCI can be planned. y To realize the PCI planning and design of 5G gNB cell s1.

[0063] In this embodiment of the invention, the coverage area block of each 5G base station gNB is calculated based on the topology distribution of 5G base stations gNB in ​​the 5G network, and the minimum isolation coverage area block sequence T_DIS{} in the PCI sequence group {} is calculated based on the minimum isolation coverage area block model of the same PCI. Based on the maximum value of T_DIS(), the corresponding PCI group in the PCI sequence group {} is selected to realize the planning of PCI.

[0064] Moreover, by measuring the coverage area of ​​the 5G base station gNB, and calculating the shortest path value of the same PCI according to the shortest path model of the same PCI, the algorithm calculation of the 5G base station gNB is realized, replacing the principle of simply planning PCI based on the distance of the 5G base station gNB in ​​the traditional PCI planning, and the rationality of PCI planning has been greatly improved.

[0065] The following explanation, in conjunction with the accompanying drawings, further illustrates the points:

[0066] Reference Figure 1 The diagram illustrates a flowchart of a network parameter planning method according to an embodiment of the present invention, which may specifically include the following steps:

[0067] Step 101: Determine the coordinate sequence of the coverage area blocks of the 5G base stations in the network based on the spatial topology distribution of the 5G base stations in the network.

[0068] The coordinate sequence of the coverage area blocks of the 5G base station cells in the network includes:

[0069] The coordinate sequence of the coverage area block of s1 cell of 5G base station in the network.

[0070] The coordinate sequence of the coverage area block of the 5G base station cell in the network also includes:

[0071] The coordinate sequence of the coverage area block of a single cell of a 5G base station in the network.

[0072] In practical implementation, a 5G gNB coverage area block model can be established. Based on the spatial topology map of all 5G gNB base stations in the network, the coverage area block s of cell s1 of the 5G gNB can be calculated. 1_cell The coordinate sequence {}, and the coverage area blocks and corresponding coordinate sequences {} of other 5GgNB single cells in the entire network.

[0073] The specific process is as follows:

[0074] 1. Calculation model of coordinate sequence of coverage area block of 5G gNB base station {}

[0075] Convert latitude and longitude to Cartesian coordinates:

[0076] To facilitate calculations, a coordinate transformation tool is used to convert the latitude and longitude of the base station into Cartesian coordinates, which are then used for calculations in the following steps.

[0077] Calculation of the perpendicular bisector between the two stations:

[0078] like Figure 2a As shown, taking stations A and B as an example, the vertical midline of the line connecting points A and B (the dotted line in the figure) is first used as the coverage edge between the two stations, and C is the midpoint between points A and B.

[0079] Where the Cartesian coordinates of base stations A and B are (XA, YA) and (XB, YB), and the slope K of line AB is:

[0080]

[0081] The coordinates of point C (XC, YC) are:

[0082] XC = (XA + XB) / 2

[0083] YC = (YA + YB) / 2

[0084] The equation of the perpendicular bisector passing through point C is:

[0085]

[0086] Calculation of coverage area blocks for 5G gNB base stations:

[0087] like Figure 2bAs shown, with station A as the center, inter-station lines are generated with surrounding stations B / C / D / E / F respectively. Taking points A / B / D as an example, the vertical median lines between points A and B / D are L1 and L2 respectively. The coordinates of the intersection point G of the two vertical median lines need to be calculated.

[0088] Where A is (XA, YA), B is (XB, YB), D is (XD, YD), H is (XH, YH), and J is (XJ, YJ). Let K1 be the slope of AB and K2 be the slope of AD. The equations of the perpendicular bisectors L1 and L2 are:

[0089]

[0090] By relating equations L1 and L2, the coordinates of the intersection point G(XG,YG) of L1 and L2 are obtained, which is a vertex of the coverage area of ​​station A. Repeating this process with surrounding stations, the coordinate sequence of all vertices in the coverage area of ​​A is obtained: {(x0, y0), (x1, y1), (x2, y2), ..., (x...}. n y n )}

[0091] Calculation of the vertex coordinates of the coverage area block of a single 5G gNB cell:

[0092] Definition of azimuth angle of a residential area: With true north as 0 degrees, the azimuth angle of the area is the angle rotated clockwise to the direction directly opposite the residential area. Figure 2c The azimuth angle of cell 1 is α, and the azimuth angle of cell 2 is β.

[0093] Definition of cell coverage boundary: The coverage boundary between cell 2 and cell 1 is the angle bisector of the azimuth difference angle (β-α) between cell 2 and cell 1.

[0094] The coverage area of ​​each cell can be obtained by cutting the coverage area of ​​the base station with the edge of the cell.

[0095] like Figure 2d As shown, the equation of the straight line AO ​​of the community boundary is:

[0096]

[0097] By combining L2 and LAO, the coordinates of the cell coverage vertex O(XO, YO) can be calculated. Similarly, the other vertices of the cell coverage area can be calculated, and the base station coverage area can be divided into the cell coverage area, thus obtaining the coverage area block s of cell s. cell The coordinate system sequence {}, such as Figure 2e As shown.

[0098] Through iterative calculations, the single-cell coverage area blocks of all 5G gNB base stations in the entire network are obtained, along with the coordinate system sequence {} of these coverage blocks, as follows: Figure 2f As shown.

[0099] exist Figure 2f middle:

[0100] {S1, S2, S3….S m The coverage area block corresponding to 5G cells is {s} 1_cell s 2_cell s 3_cell …s m_cell}

[0101] Coverage area block {s 1_cell s 2_cell s 3_cell …s m_cell The coordinate sequences of} are {S1{}, S2{}, S3{}…S m {}}:

[0102] s 1_cell Coordinate sequence of the covered area

[0103] s 2_cell Coordinate sequence of the covered area

[0104] s 3_cell Coordinate sequence of the covered area

[0105] s m_cell Coordinate sequence of the covered area

[0106] Step 102: Determine the sequence of adjacent blocks of the coverage area of ​​the current 5G base station cell based on the coordinate sequence of the coverage area blocks of the 5G base station cell in the network.

[0107] In the specific implementation, a coverage area block adjacency evaluation model for 5G gNB cells is established. Based on the coordinate system sequence {} of coverage area blocks of all 5G gNB cells in the network, the coverage area block s of 5G gNB cell s1 is calculated. 1_cell adjacent region block sequence The specific process is as follows:

[0108] like Figure 2g As shown, the coverage area blocks {s} of the two cells {S1} and {S2} are... 1_cell s 2_cell The coordinate sequences of} are {S1{} and S2{}} respectively:

[0109] s 1_cell Coordinate sequence of the covered area

[0110] s 2_cell Coordinate sequence of the covered area

[0111] 1. The coverage area blocks {s} of the two cells {S1, S2} 1_cell s 2_cell The computational model for adjacent sides of}, such as Figure 2g As shown, calculate s 1_cell s 2_cell The edges of the covered area blocks are adjacent.

[0112] s 1_cell The xth edge of the covered area block Coordinate system: and s 2_cell The y-th edge of the covered area block Coordinate system:

[0113] Establish an adjacent measurement function f(x, y) for two edges, and calculate the adjacent edge measurement function f(x, y) for two edges. Are they adjacent?

[0114] If f(x, y) > 0, then it means {s 1_cell s 2_cell The two sides of} Adjacent. Among them

[0115]

[0116]

[0117]

[0118]

[0119]

[0120] 2. The coverage area blocks {s} of the two cells {S1, S2} 1_cell s 2_cell Adjacent computational models

[0121] Definition: s 1_cell There are n edges, s 2_cell Given m edges, establish {s 1_cell s 2_cell The adjacency decision function of}: f(s) 1_cell s 2_cell )

[0122] s1_cell n edges and s 2_cell Given m edges, iteratively calculate the function f(x, y) for adjacent edges, and then perform a summation operation {∑ 0＜i≤m f(i,j) is the function for calculating the adjacent edges.

[0123]

[0124] f(s) 1_cell s 2_cell The value of 1 indicates that {s} 1_cell s 2_cell The covered areas are adjacent; otherwise, they are not adjacent.

[0125] 3. Calculation of the NL{} sequence of adjacent area blocks of 5GgNB cells: Based on the adjacent coverage area block model of 5GgNB cells, iterative calculation is performed to calculate the coverage area block S of 5GgNB cell S1. 1_CELL The adjacent region block sequence NL s1 {}:

[0126] For example, the coverage area of ​​the entire 5G gNB cell in the network {S 1_CELL N 1_CELL N 2_CELL …N M_CELL}, perform cyclical selection based on the coverage area block adjacency model of 5GgNB cells, from {N 1_CELL N 2_CELL …N m_CELL} Calculate the relationship with S 1_CELL Adjacent coverage area blocks yield S 1_CELL The adjacent region block sequence NL S1 {}

[0127] For i = 1 to m

[0128] f(s 1_cell N 1_cell )=1 then N I_cell ∈NL S1 {}

[0129] next

[0130] like Figure 2h As shown, the adjacent block sequence of the entire 5G gNB cell is as follows:

[0131] The coverage area of ​​S1 cell is fast. 1_CELL Adjacent region block sequence:

[0132] NL S1 {}={S 2_cell S 3_cell N6 1_cellN7 1_cell N7 3_cell N1 1_cell N1 2_cell …}

[0133] The coverage area of ​​S2 cell is fast. 2_CELL Adjacent region block sequence:

[0134] NL S2 {}={S 1_cell S 3_cell N6 1_cell N5 2_cell N4 2_cell N4 1_cell N3 1_cell …}

[0135] The coverage area of ​​S3 cell is fast. 3_CELL Adjacent region block sequence:

[0136] NL S3 {}={S 2_cell S 1_cell N3 1_cell N2 1_cell N1 1_cell …}

[0137] T1 cell coverage area is fast T 1_CELL Adjacent region block sequence:

[0138] NL T1 {}={T 2_cell T 3_cell N10 2_cell N10 1_cell N11 1_cell N11 2_cell ,

[0139] N12 2_cell …}

[0140] T2 cell coverage area is fast T 2_CELL Adjacent region block sequence:

[0141] NL T2 {}={T 1_cell T 3_cell N12 2_cell N12 1_cell N15 1_cell N15 3_cell ...}

[0142] T3 cell coverage area is fast T 3_CELL Adjacent region block sequence:

[0143] NLT3 {}={T 1_cell T 2_cell N15 2_cell N15 1_cell N10 3_cell N10 2_cell ...}

[0144] Step 103: Determine the neighboring cell sequence of the 5G base station based on the neighboring area block sequence of the coverage area block of the current 5G base station cell, and process the PCI sequence configured in the neighboring cell sequence of the 5G base station to determine the target processing result from the processing result sequence.

[0145] In one embodiment of the present invention, determining the target processing result from the processing result sequence includes:

[0146] According to the preset processing method, the PCI sequence configured for the adjacent cell sequence of the 5G base station is processed to obtain a processing result sequence; from the processing result sequence, the target processing result with the fewest occurrences is selected.

[0147] In one embodiment of the present invention, the preset processing method includes: modulo 4 processing.

[0148] In specific implementation, the maximum probability modulus of the 5G PCI configuration parameter in the S1 configuration of the 5G gNB cell is... x The calculation model is based on the neighboring cell sequence NL of 5GgNB cell S1. S1 {}, and NL S1 The 5G PCI sequence configured in the 5GgNB cell corresponding to {} is processed modulo 4 to obtain the modulo 4 sequence {modulo 1, modulo 2, modulo 3, modulo 4}. The modulo sequence with the fewest occurrences is then obtained. x =min{modulo 1, modulo 2, modulo 3, modulo 4}, which is the maximum probability modulo of the 5G PCI configuration parameter for the 5G gNB cell S1. x

[0149] The specific process is as follows:

[0150] The coverage area of ​​5G gNB cell S1 is fast. 1_CELL Adjacent region block sequence:

[0151] NL s1 {}={S 2_cell S 3_cell N6 1_cell N7 1_cell N7 3_cell N1 1_cell N1 2_cell …}

[0152] PCI sequence configured for 5GgNB cells in adjacent area block sequences:

[0153]

[0154] The sequence is processed modulo 4:

[0155]

[0156] Design: Modulo 4 sequence {modulo 0, modulo 1, modulo 2, modulo 3}

[0157] statistics The number of times 0, 1, 2, and 3 appear in the data are denoted as modulo 0, modulo 1, modulo 2, and modulo 3, respectively.

[0158] For example:

[0159]

[0160]

[0161]

[0162] right The sequence is used to perform iterative calculations to obtain the modulo 4 sequence {modulo 0, modulo 1, modulo 2, modulo 3} values.

[0163] mold x =min{modulo 1, modulo 2, modulo 3, modulo 4}

[0164] Step 104: Based on the target processing result, determine the target cell sequence from the neighboring cell sequence of the 5G base station, and determine the shortest path sequence between the current 5G base station cell and the target cell sequence.

[0165] In the specific implementation, a shortest path evaluation model is established between each pair of 5G gNB cells {s1, T1}, based on the adjacent area block sequence of the entire network. Calculate the shortest path between cells {s1, T1}

[0166] For example: the shortest path between two cells {s1, T1} in a 5GgNB

[0167] (1) Distance algorithm d(s1, s2) between two 5G gNB cells

[0168] S1 cell's coverage area block S 1_CELL Adjacent region block sequence:

[0169] NLS1 {}={S 2_cell S 3_cell N6 1_cell N7 1_cell N7 3_cell N1 1_cell N1 2_cell …}

[0170] The coverage area of ​​S2 cell is fast. 2_CELL Adjacent region block sequence:

[0171] NL S2 {}={S 1_cell S 3_cell N6 1_cell N5 2_cell N4 2_cell N4 1_cell N3 1_cell …}

[0172] When S 2_CELL Belongs to S 1_CELL The adjacent region block sequence NL S1 {}China Times: S 2_CELL ∈NL S1 If {}, then the distance between {s1, s2} is d(s1, s2) = 1; otherwise, the distance is infinite.

[0173] if(S 2_CELL ∈NL S1 {})then The distance between s1 and s2: d(s1, s2) = 1, otherwise it is infinite.

[0174] formula:

[0175] 2) The aggregation algorithm calculates the N paths between two cells {s1, T1} in the 5G gNB.

[0176] Clustering Algorithm Description:

[0177] like Figure 2i As shown, the N paths between cells {s1, T1} of the 5GgNB are calculated using a aggregation algorithm:

[0178] Path(x) = {x i_CELL ∈NL S1 {}、…、T 1_CELL ∈NL y {}}

[0179] like Figure 2i As shown:

[0180] The path(1) path aggregation algorithm calculation process

[0181] Step 1: N1 1_CELL ∈NL S1 {}, from 5GgNB cell s1 NL S1 {}, derive N1 1_CELL ;

[0182] Step Two: From 5GgNB cell N11 Derive N1 3_CELL ;

[0183] Step 3: From 5GgNB cell of Derive N10 1_CELL ;

[0184] Step m: From 5GgNB cell of Derive T 1_CELL ;

[0185] Therefore, the first path between the two subintervals {s1, T1} can be derived:

[0186]

[0187] The loop continues, completing the calculation of N paths between {s1, T1}.

[0188]

[0189]

[0190]

[0191] Based on the distance algorithm between two 5G gNB cells, calculate the N path length sequences between cells s1 and T1 of the 5G gNB: d(s1, T1) pat□ {}

[0192] d(s1, T1) pat□ {}={d(s1、T1) path(1) d(s1, T1) path(2) ….d(s1、T1) path(n)}

[0193] in:

[0194]

[0195] Based on the shortest path formula, the shortest path distance between cells {s1, T1} of the 5G gNB is calculated as follows:

[0196]

[0197] Step 105: Determine the shortest distance sequence based on the shortest path sequence.

[0198] In one embodiment of the present invention, determining the shortest distance sequence based on the shortest path sequence includes:

[0199] Based on the target processing result, a target PCI sequence is selected from all PCIs; based on the shortest path sequence, the cell of the current 5G base station, and the target PCI sequence, the shortest distance sequence is determined.

[0200] In one embodiment of the present invention, the shortest distance in the shortest distance sequence is the minimum value in the shortest path sequence.

[0201] 1. Establish 5G gNB cell s1 and PCI x Shortest distance model

[0202] According to the 3GPP 38.211 7.4.2 protocol, a total of 1008 PCIs are reused in the 5G network; for the 5G gNB cell s1, PCI = pci x The corresponding N target 5G gNB cells across the entire network i The target cell sequence T is formed. x {}={t1、t2、t3…t n}; Based on the pairwise {s x T y The shortest path evaluation model calculates the sequence T between the source cell s1 and the 5G gNB target cell. x {}, the distances of the N shortest paths Form the shortest path sequence:

[0203]

[0204] shortest path sequence minimum value Let PCI = pci be the corresponding PCI of source cell s1. x shortest distance

[0205] 2. For the 1008 5G PCIs, select PCI Mod 4 = Mod 4 x PCI sequence:

[0206] Note: If PCI i mod 4 = modulo x Then pcii Belongs to sequence Otherwise it does not belong to

[0207] For i = 1 to 1008

[0208]

[0209] Next

[0210] Ultimately, obtain

[0211] Calculate the source cell s1 and s2 respectively using the cyclic calculation method. The corresponding shortest distance sequence

[0212]

[0213] Step 106: Determine the target shortest distance from the shortest distance sequence, and plan the PCI of the current 5G base station based on the target shortest distance.

[0214] In the specific implementation, a reasonable PCI calculation model for 5G gNB cell s1 is established, from... In the sequence, select the maximum value:

[0215]

[0216]

[0217] Plan to satisfy {PCI y Modulo 4 = Modulo x and Maximum pci y Thus, a suitable PCI can be planned. y This allows us to determine the planned PCI configuration for the 5G gNB cell s1. y It has the highest rationality; cyclic calculation can completely plan the PCI parameters of all 5G gNB cells in the network.

[0218] In this embodiment of the invention, the coordinate sequence of the coverage area blocks of the 5G base station cells in the network is determined based on the spatial topology distribution of the 5G base stations in the network. Based on the coordinate sequence of the coverage area blocks of the 5G base station cells in the network, the sequence of adjacent area blocks of the current 5G base station cell's coverage area block is determined. Based on the sequence of adjacent area blocks of the current 5G base station cell's coverage area block, the sequence of adjacent cells of the 5G base station is determined. The PCI sequence configured in the sequence of adjacent cells of the 5G base station is processed to determine the target processing result from the processing result sequence. Based on the target processing result, the target cell sequence is determined from the sequence of adjacent cells of the 5G base station, and the shortest path sequence between the current 5G base station cell and the target cell sequence is determined. Based on the shortest path sequence, the shortest distance sequence is determined. Based on the shortest distance sequence, the target shortest distance is determined. Based on the target shortest distance, the PCI of the current 5G base station is planned, realizing the planning of PCI parameters in the 5G base station, reducing PCI conflicts, and improving communication quality.

[0219] It should be noted that, for the sake of simplicity, the method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.

[0220] An embodiment of the present invention provides a network parameter planning apparatus, which can be used for:

[0221] Based on the spatial topology distribution of 5G base stations in the network, determine the coordinate sequence of the coverage area blocks of the cells of the 5G base stations in the network;

[0222] Based on the coordinate sequence of the coverage area blocks of the 5G base station cells in the network, determine the adjacent area block sequence of the coverage area block of the current 5G base station cell;

[0223] Based on the adjacent area block sequence of the coverage area block of the current 5G base station cell, the adjacent cell sequence of the 5G base station is determined, and the PCI sequence configured in the adjacent cell sequence of the 5G base station is processed to determine the target processing result from the processing result sequence.

[0224] Based on the target processing result, a target cell sequence is determined from the neighboring cell sequence of the 5G base station, and the shortest path sequence between the current 5G base station cell and the target cell sequence is determined.

[0225] Based on the shortest path sequence, determine the shortest distance sequence;

[0226] From the shortest distance sequence, a target shortest distance is determined, and the PCI of the current 5G base station is planned based on the target shortest distance.

[0227] In one embodiment of the present invention, determining the shortest distance sequence based on the shortest path sequence includes:

[0228] Based on the target processing results, select the target PCI sequence from all PCIs;

[0229] The shortest distance sequence is determined based on the shortest path sequence, the cell of the current 5G base station, and the target PCI sequence.

[0230] In one embodiment of the present invention, the shortest distance in the shortest distance sequence is the minimum value in the shortest path sequence.

[0231] In one embodiment of the present invention, determining the target processing result from the processing result sequence includes:

[0232] According to the preset processing method, the PCI sequence configured for the adjacent cell sequence of the 5G base station is processed to obtain the processing result sequence;

[0233] From the sequence of processing results, select the target processing result that appears the least.

[0234] In one embodiment of the present invention, the preset processing method includes:

[0235] Modulo 4 processing.

[0236] In one embodiment of the present invention, the coordinate sequence of the coverage area block of the 5G base station cell in the network includes:

[0237] Coordinate sequence of the coverage area block of s1 cell of 5G base station in the network

[0238] In one embodiment of the present invention, the coordinate sequence of the coverage area block of the 5G base station cell in the network further includes:

[0239] The coordinate sequence of the coverage area block of a single cell of a 5G base station in the network.

[0240] In this embodiment of the invention, the coordinate sequence of the coverage area blocks of the 5G base station cells in the network is determined based on the spatial topology distribution of the 5G base stations in the network. Based on the coordinate sequence of the coverage area blocks of the 5G base station cells in the network, the sequence of adjacent area blocks of the current 5G base station cell's coverage area block is determined. Based on the sequence of adjacent area blocks of the current 5G base station cell's coverage area block, the sequence of adjacent cells of the 5G base station is determined. The PCI sequence configured in the sequence of adjacent cells of the 5G base station is processed to determine the target processing result from the processing result sequence. Based on the target processing result, the target cell sequence is determined from the sequence of adjacent cells of the 5G base station, and the shortest path sequence between the current 5G base station cell and the target cell sequence is determined. Based on the shortest path sequence, the shortest distance sequence is determined. Based on the shortest distance sequence, the target shortest distance is determined. Based on the target shortest distance, the PCI of the current 5G base station is planned, realizing the planning of PCI parameters in the 5G base station, reducing PCI conflicts, and improving communication quality.

[0241] An embodiment of the present invention also provides an electronic device, which may include a processor, a memory, and a computer program stored in the memory and capable of running on the processor. When the computer program is executed by the processor, it implements the above-described method for network parameter planning.

[0242] An embodiment of the present invention also provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, it implements the above-described method for network parameter planning.

[0243] As the device embodiment is basically similar to the method embodiment, the description is relatively simple, and relevant parts can be found in the description of the method embodiment.

[0244] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0245] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, embodiments of the present invention can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of the present invention can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0246] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0247] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0248] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0249] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the present invention.

[0250] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes the aforementioned element.

[0251] The above provides a detailed description of the method and apparatus for network parameter planning. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, those skilled in the art will recognize that there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method of network parameter planning, characterized by, The method includes: Based on the spatial topology distribution of 5G base stations in the network, determine the coordinate sequence of the coverage area blocks of the cells of the 5G base stations in the network; Based on the coordinate sequence of the coverage area blocks of the 5G base station cells in the network, determine the adjacent area block sequence of the coverage area block of the current 5G base station cell; Based on the adjacent area block sequence of the coverage area block of the current 5G base station cell, the adjacent cell sequence of the 5G base station is determined, and the PCI sequence configured in the adjacent cell sequence of the 5G base station is processed to determine the target processing result from the processing result sequence. Based on the target processing result, a target cell sequence is determined from the neighboring cell sequence of the 5G base station, and the shortest path sequence between the current 5G base station cell and the target cell sequence is determined. Based on the shortest path sequence, determine the shortest distance sequence; From the shortest distance sequence, a target shortest distance is determined, and the PCI of the current 5G base station is planned based on the target shortest distance; Determining the target processing result from the processing result sequence includes: According to the preset processing method, the PCI sequence configured for the adjacent cell sequence of the 5G base station is processed to obtain the processing result sequence; Select the target processing result that appears the least from the sequence of processing results; The preset processing method includes: modulo 4 processing.

2. The method of claim 1, wherein, The step of determining the shortest distance sequence based on the shortest path sequence includes: Based on the target processing results, select the target PCI sequence from all PCIs; The shortest distance sequence is determined based on the shortest path sequence, the cell of the current 5G base station, and the target PCI sequence.

3. The method of claim 2, wherein, The shortest distance in the shortest distance sequence is the minimum value in the shortest path sequence.

4. The method of claim 1, wherein, The coordinate sequence of the coverage area blocks of the 5G base station cells in the network includes: The coordinate sequence of the coverage area block of s1 cell of 5G base station in the network.

5. The method of claim 1, wherein, The coordinate sequence of the coverage area blocks of the 5G base station cells in the network also includes: The coordinate sequence of the coverage area block of a single cell of a 5G base station in the network.

6. An apparatus for network parameter planning, the apparatus comprising: The device is used for: Based on the spatial topology distribution of 5G base stations in the network, determine the coordinate sequence of the coverage area blocks of the cells of the 5G base stations in the network; Based on the coordinate sequence of the coverage area blocks of the 5G base station cells in the network, determine the adjacent area block sequence of the coverage area block of the current 5G base station cell; Based on the adjacent area block sequence of the coverage area block of the current 5G base station cell, the adjacent cell sequence of the 5G base station is determined, and the PCI sequence configured in the adjacent cell sequence of the 5G base station is processed to determine the target processing result from the processing result sequence. Based on the target processing result, a target cell sequence is determined from the neighboring cell sequence of the 5G base station, and the shortest path sequence between the current 5G base station cell and the target cell sequence is determined. Based on the shortest path sequence, determine the shortest distance sequence; From the shortest distance sequence, a target shortest distance is determined, and the PCI of the current 5G base station is planned based on the target shortest distance; Determining the target processing result from the processing result sequence includes: According to the preset processing method, the PCI sequence configured for the adjacent cell sequence of the 5G base station is processed to obtain the processing result sequence; Select the target processing result that appears the least from the sequence of processing results; The preset processing method includes: modulo 4 processing.

7. An electronic device, comprising: It includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the method of network parameter planning as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, which, when executed by a processor, implements the method of network parameter planning as described in any one of claims 1 to 5.

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