PCI planning method, device, medium and computer program product

Abstract

The present application discloses a PCI planning method, device, medium and computer program product, which obtains the type information of the base station to be planned, determines the target module value symbiosis algorithm of the base station to be planned according to the type information; determines the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm; generates the PCI value group set of the base station to be planned based on the PCI module value combination; performs reuse distance calculation on the PCI value group set, and determines the target PCI value group of the base station to be planned according to the reuse distance calculation result. The present application can ensure the accuracy of the planned PCI value group of the base station to be planned on the basis of automatically and quickly performing PCI planning of the base station to be planned.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a PCI planning method, device, medium and computer program product. Background Art

[0002] PCI, the full name of which is Physical Cell Identifier, is one of the essential configuration parameters in the process of building and commissioning 5G base stations. The number of PCIs is limited, and as the scale of base station cells continues to expand, how to meet complex requirements and quickly and accurately plan 5G base station cell PCIs without manual automatic planning is the key to significantly improving the efficiency and quality of 5G base station access.

[0003] The existing solution follows the 4G algorithm, and according to the current network parameters of 5G base stations, removes the same-frequency PCI values ​​that have been used within a fixed range around the base station cell to be planned, and selects the final required PCI based on experience by network planning engineers in combination with electronic maps. However, the existing solution requires extremely high experience and skills of network planning engineers, and the PCI module value of the base station cell to be planned is manually selected and judged subjectively. However, manual judgment is time-consuming and inaccurate, which no longer meets the current production needs of large-scale and efficient 5G network access. Summary of the invention

[0004] The main purpose of this application is to provide a PCI planning method, device, medium and computer program product, aiming to solve the technical problem that the current manual planning of 5G base station cell PCI is time-consuming and has low accuracy.

[0005] To achieve the above object, an embodiment of the present application provides a PCI planning method, the PCI planning method comprising:

[0006] Acquire type information of the base station to be planned, and determine a target module value symbiosis algorithm for the base station to be planned according to the type information;

[0007] Determine the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm;

[0008] Generate a PCI value group set of the base station to be planned based on the PCI module value combination;

[0009] A multiplexing distance calculation is performed on the PCI value group set, and a target PCI value group of the base station to be planned is determined according to the multiplexing distance calculation result.

[0010] Preferably, the step of performing multiplexing distance calculation on the PCI value group set and determining the target PCI value group of the base station to be planned according to the multiplexing distance calculation result includes:

[0011] respectively calculating the comprehensive multiplexing distance of each PCI value group of the PCI value group set;

[0012] Determining a target comprehensive multiplexing distance from each of the comprehensive multiplexing distances;

[0013] The target PCI value group of the base station to be planned is determined according to the target comprehensive multiplexing distance.

[0014] Preferably, the step of respectively calculating the comprehensive multiplexing distance of each PCI value group of the PCI value group set comprises:

[0015] For each PCI value group of the PCI value group set, the following steps are performed respectively:

[0016] Calculating a first multiplexing distance of each PCI value in the PCI value group and a second multiplexing distance of each PCI value under a preset modulus;

[0017] Respectively determining a first target multiplexing distance in each of the first multiplexing distances and a second target multiplexing distance in each of the second multiplexing distances;

[0018] A comprehensive multiplexing distance of the PCI value group is determined according to the first target multiplexing distance and the second target multiplexing distance.

[0019] Preferably, the type information includes a room type and a macro base station type, the target module value symbiosis algorithm includes a first preset module value symbiosis algorithm and a second preset module value symbiosis algorithm, and the step of determining the target module value symbiosis algorithm of the base station to be planned according to the type information includes:

[0020] If the type information is a room-based type, determining the first preset module-value symbiosis algorithm corresponding to the room-based type as the target module-value symbiosis algorithm of the base station to be planned;

[0021] If the type information is a macro station type, the second preset module-value symbiosis algorithm corresponding to the macro station type is determined as the target module-value symbiosis algorithm of the base station to be planned.

[0022] Preferably, the step of determining the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm includes:

[0023] Determine a target cellular algorithm for the base station to be planned according to the type information;

[0024] Calculate the planned PCI evaluation range of the base station to be planned according to the target cellular algorithm;

[0025] Obtaining the target base station engineering parameter information within the planned PCI evaluation range;

[0026] According to the target module value symbiosis algorithm and the target base station engineering parameter information, the PCI module value combination of the base station to be planned is determined.

[0027] Preferably, the step of determining the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm and the target base station engineering parameter information includes:

[0028] Calculating the symbiotic mutual exclusion force value of the target base station according to the first preset module value symbiosis algorithm and the target base station engineering parameter information, and determining the PCI module value combination of the base station to be planned according to the symbiotic mutual exclusion force value; or

[0029] According to the second preset module value symbiosis algorithm and the target base station working parameter information, the third reuse distance of the target base station is calculated, and the PCI module value combination of the base station to be planned is determined according to the third reuse distance.

[0030] Preferably, the step of generating the PCI value group set of the base station to be planned based on the PCI module value combination includes:

[0031] Eliminate the PCI value from the total PCI value according to the PCI module value combination to obtain an available PCI value;

[0032] A PCI value group set of the base station to be planned is generated according to the available PCI value.

[0033] Furthermore, to achieve the above objectives, the present application also provides a PCI planning device, which includes a memory, a processor, and a PCI planning program stored in the memory and executable on the processor, and the PCI planning program implements the steps of the above PCI planning method when executed by the processor.

[0034] Furthermore, to achieve the above-mentioned purpose, the present application also provides a medium, which is a computer-readable storage medium on which a PCI planning program is stored, and when the PCI planning program is executed by a processor, the steps of the above-mentioned PCI planning method are implemented.

[0035] Furthermore, to achieve the above-mentioned purpose, the present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned PCI planning method when executed by a processor.

[0036] The embodiments of the present application provide a PCI planning method, device, medium and computer program product, which obtain the type information of the base station to be planned, determine the target module value symbiosis algorithm of the base station to be planned according to the type information; determine the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm; generate the PCI value group set of the base station to be planned based on the PCI module value combination; perform reuse distance calculation on the PCI value group set, and determine the target PCI value group of the base station to be planned according to the reuse distance calculation result. The present application can automatically determine the type of the base station to be planned, and then first calculate the PCI module value combination of the base station to be planned according to the module value symbiosis algorithm corresponding to the base station type, and then generate the PCI value group set of the base station to be planned based on the PCI module value combination, and finally determine the target PCI value group of the base station to be planned by calculating the reuse distance between the PCI value group sets. On the basis of automatically and quickly performing PCI planning of the base station to be planned, the accuracy of the planned PCI value group of the base station to be planned can also be ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A schematic diagram of the structure of the hardware operating environment involved in the PCI planning method embodiment of the present application;

[0038] Figure 2 This is a flow chart of the first embodiment of the PCI planning method of the present application;

[0039] Figure 3 This is a flow chart of the second embodiment of the PCI planning method of the present application;

[0040] Figure 4 This is a flowchart of the third embodiment of the PCI planning method of the present application.

[0041] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0042] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0043] The embodiments of the present application provide a PCI planning method, device, medium and computer program product, which obtain the type information of the base station to be planned, determine the target module value symbiosis algorithm of the base station to be planned according to the type information; determine the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm; generate the PCI value group set of the base station to be planned based on the PCI module value combination; perform reuse distance calculation on the PCI value group set, and determine the target PCI value group of the base station to be planned according to the reuse distance calculation result. The present application can automatically determine the type of the base station to be planned, and then first calculate the PCI module value combination of the base station to be planned according to the module value symbiosis algorithm corresponding to the base station type, and then generate the PCI value group set of the base station to be planned based on the PCI module value combination, and finally determine the target PCI value group of the base station to be planned by calculating the reuse distance between the PCI value group sets. On the basis of automatically and quickly performing PCI planning of the base station to be planned, the accuracy of the planned PCI value group of the base station to be planned can also be ensured.

[0044] like Figure 1 As shown, Figure 1 It is a schematic diagram of the PCI planning device structure of the hardware operating environment involved in the embodiment of the present application.

[0045] In the subsequent description, the suffixes such as "module", "component" or "unit" used to represent elements are only used to facilitate the description of the present application, and have no specific meanings. Therefore, "module", "component" or "unit" can be used in a mixed manner.

[0046] The PCI planning device in the embodiment of the present application may be a PC, or a portable terminal device such as a tablet computer or a portable computer.

[0047] like Figure 1 As shown, the PCI planning device may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0048] Those skilled in the art will understand that Figure 1The PCI planning device structure shown in the figure does not constitute a limitation on the PCI planning device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0049] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a PCI planning program.

[0050] exist Figure 1 In the device shown, the network interface 1004 is mainly used to connect to the backend server and perform data communication with the backend server; the user interface 1003 is mainly used to connect to the client (user end) and perform data communication with the client; and the processor 1001 can be used to call the PCI planning program stored in the memory 1005 and perform the following operations:

[0051] Acquire type information of the base station to be planned, and determine a target module value symbiosis algorithm for the base station to be planned according to the type information;

[0052] Determine the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm;

[0053] Generate a PCI value group set of the base station to be planned based on the PCI module value combination;

[0054] A multiplexing distance calculation is performed on the PCI value group set, and a target PCI value group of the base station to be planned is determined according to the multiplexing distance calculation result.

[0055] Further, the step of performing multiplexing distance calculation on the PCI value group set and determining the target PCI value group of the base station to be planned according to the multiplexing distance calculation result includes:

[0056] respectively calculating the comprehensive multiplexing distance of each PCI value group of the PCI value group set;

[0057] Determining a target comprehensive multiplexing distance from each of the comprehensive multiplexing distances;

[0058] The target PCI value group of the base station to be planned is determined according to the target comprehensive multiplexing distance.

[0059] Further, the step of respectively calculating the comprehensive multiplexing distance of each PCI value group of the PCI value group set includes:

[0060] For each PCI value group of the PCI value group set, the following steps are performed respectively:

[0061] Calculating a first multiplexing distance of each PCI value in the PCI value group and a second multiplexing distance of each PCI value under a preset modulus;

[0062] Respectively determining a first target multiplexing distance in each of the first multiplexing distances and a second target multiplexing distance in each of the second multiplexing distances;

[0063] A comprehensive multiplexing distance of the PCI value group is determined according to the first target multiplexing distance and the second target multiplexing distance.

[0064] Further, the type information includes a room type and a macro base station type, the target module value symbiosis algorithm includes a first preset module value symbiosis algorithm and a second preset module value symbiosis algorithm, and the step of determining the target module value symbiosis algorithm of the base station to be planned according to the type information includes:

[0065] If the type information is a room-based type, determining the first preset module-value symbiosis algorithm corresponding to the room-based type as the target module-value symbiosis algorithm of the base station to be planned;

[0066] If the type information is a macro station type, the second preset module-value symbiosis algorithm corresponding to the macro station type is determined as the target module-value symbiosis algorithm of the base station to be planned.

[0067] Further, the step of determining the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm includes:

[0068] Determine a target cellular algorithm for the base station to be planned according to the type information;

[0069] Calculate the planned PCI evaluation range of the base station to be planned according to the target cellular algorithm;

[0070] Obtaining the target base station engineering parameter information within the planned PCI evaluation range;

[0071] According to the target module value symbiosis algorithm and the target base station engineering parameter information, the PCI module value combination of the base station to be planned is determined.

[0072] Further, the step of determining the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm and the target base station engineering parameter information includes:

[0073] Calculating the symbiotic mutual exclusion force value of the target base station according to the first preset module value symbiosis algorithm and the target base station engineering parameter information, and determining the PCI module value combination of the base station to be planned according to the symbiotic mutual exclusion force value; or

[0074] According to the second preset module value symbiosis algorithm and the target base station working parameter information, the third reuse distance of the target base station is calculated, and the PCI module value combination of the base station to be planned is determined according to the third reuse distance.

[0075] Further, the step of generating the PCI value group set of the base station to be planned based on the PCI module value combination includes:

[0076] Eliminate the PCI value from the total PCI value according to the PCI module value combination to obtain an available PCI value;

[0077] A PCI value group set of the base station to be planned is generated according to the available PCI value.

[0078] In order to better understand the above technical solution, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0079] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0080] Reference Figure 2 The first embodiment of the present application provides a flow chart of a PCI planning method. In this embodiment, the PCI planning method includes the following steps:

[0081] Step S10, obtaining type information of the base station to be planned, and determining a target module value symbiosis algorithm of the base station to be planned according to the type information;

[0082] In this embodiment, the PCI planning method is applied to the PCI planning system. The PCI planning system can be deployed on servers, smart terminals, etc. in this application. For the convenience of description, the PCI planning system will be referred to as the system in the following. It can be understood that PCI, the full name of Physical Cell Identifier, is one of the essential configuration parameters in the process of new construction and commissioning of 5G base stations. The NR (New Radio) system defines a total of 336 groups (1008) of different PCIs. When PCI planning requires the same-frequency networking, it is necessary to avoid or reduce the impact of the following two major types of problems, namely: (1) PCI conflict and confusion: The cell reuses PCI with the surrounding neighboring cells and there are two or more PCIs in the neighboring cells adjacent to the cell that are the same, resulting in serious perception problems such as UE inability to access and cell switching disconnection. (II) PCI same MOD value interference: The 5G NR system does not have CRS (Cell Reference Signal), but when there are users, some algorithm characteristics need to be based on PCI as input. The input of these algorithms is based on PCI mod3 to ensure the algorithm gain. For the site cells that do not open the gain algorithm and the uplink and downlink decoupling scenarios, PCI mod30 must be staggered to ensure normal access to the cell. Therefore, the number of PCIs is limited and as the scale of base station cells continues to expand, how to meet complex requirements quickly and accurately and get rid of manual automatic planning of 5G base station cell PCI is the key to greatly improve the efficiency and quality of 5G base station network access. The existing solution is to follow the 4G algorithm, according to the existing network parameters of the 5G base station, eliminate the same-frequency PCI values ​​that have been used within a fixed range around the base station cell to be planned, and select the final required PCI by experience through network planning engineers combined with electronic maps. First, according to the engineering parameters of the 5G base stations that have been opened (cell latitude and longitude, frequency, PCI, etc.), auxiliary tools are used to calculate the PCI values ​​that have been used within a fixed range (radius 5Km, 10Km, etc.) around the planned 5G base stations, and the used values ​​are removed from the total 5G PCI library to form a planned PCI reserve library. Then, the network planning engineer observes the distribution of mod3 values ​​of other co-frequency sites around the base station to be opened in combination with the electronic map, and judges the optimal mod value allocation of the 5G base station cell to be planned based on experience (avoiding mod3 interference), and gives the final PCI value after inputting the auxiliary tool. The existing scheme mainly eliminates the co-frequency PCI values ​​that have been used within a fixed range (radius 5Km, 10Km, etc.) around the planned base station cell based on the existing network engineering parameters of the 5G base station, and selects the final required PCI by experience through the network planning engineer in combination with the electronic map. First of all, this scheme has high requirements on the integrity of the existing network engineering parameters. If there are base stations that are opened at the same time around the planned base station, the planning engineering parameter data source will omit this part of the data, resulting in inaccurate PCI planning.Secondly, the existing scheme requires extremely high experience and skills of network planning engineers. The PCI modulus value of the base station cell to be planned is manually selected and judged subjectively. Not only is the accuracy not guaranteed, but the manual judgment is time-consuming and inefficient, which no longer meets the current production requirements of large-scale and efficient 5G network access. Secondly, the existing scheme only eliminates the used PCI values ​​within a fixed range, but cannot guarantee that the PCI value finally used by the base station cell to be planned is the optimal value. With the gradual increase in the scale of 5G base station access, if the specified range is set too large, no PCI will be available; if it is set too small, the cell to be planned will reuse the PCI with the surrounding neighboring cells or there will be two or more PCIs in the neighboring cells that are the same, resulting in PCI conflicts and confusion, which seriously affects the overall planning of regional PCI and user network usage perception. Finally, the existing scheme inherits the 4G planning principle, only considering the interference impact of the same LTE (Long Term Evolution) mod3, and ignoring the serious mutual interference problem of uplink DMRS (Demodulation Reference Signal) and SRS (uplink reference signal) caused by the same 5G mod30. Therefore, a standardized method is needed to quickly and accurately automate the planning of base station cell opening PCI, replace manual participation, and improve work efficiency and 5G base station network access quality.

[0083] On this basis, the present application proposes a PCI planning method, which can automatically determine the type of the base station to be planned, and then calculate the PCI modulus value combination of the base station to be planned according to the modulus value symbiosis algorithm corresponding to the base station type, and then generate the PCI value group set of the base station to be planned based on the PCI modulus value combination, and finally determine the target PCI value group of the base station to be planned by calculating the reuse distance between the PCI value groups. On the basis of automatically and quickly performing PCI planning of the base station to be planned, the accuracy of the planned PCI value group of the base station to be planned can also be ensured. It can be understood that the modulus value in the present application is set according to the number of cells of the base station to be planned. For example, if the base station to be planned contains three cells, the modulus value is a modulus-three value. Except for special instructions, the modulus values ​​in the present application are all modulus-three values, that is, MOD3 values, where MOD3 is the remainder after the ratio operation of the numerical value and 3.

[0084] The system automatically collects and organizes the engineering parameters of the 5G existing base stations that have been opened and the engineering parameters of the base stations that have been planned and opened, and summarizes them into a complete and accurate 5G base station PCI planning data source - RT engineering parameter library (latitude and longitude, antenna height, azimuth, downtilt angle, downlink frequency, PCI, etc.). When planning the PCI of a new base station to be planned, the corresponding engineering parameter information can be obtained according to the RT engineering parameter library to accurately plan the PCI value of each cell of the base station to be planned. Further, when there is a new base station PCI planning requirement, since the type information of the base station includes the indoor type (or called the indoor type) and the macro station type (or called the outdoor type), the system obtains the coverage mode and downlink frequency information of the base station to be planned, and jointly determines whether the base station to be planned is the indoor type or the macro station type according to the coverage mode and downlink frequency information of the base station to be planned. It can be understood that in this embodiment, the type information of the base station to be planned can also be determined only by the coverage mode, but the type information of the base station to be planned can be determined only by the coverage mode, which may lead to inaccurate judgment results due to special circumstances. Therefore, the type information of the base station to be planned is judged in combination with the downlink frequency information, so that the judged type information of the base station to be planned is more accurate, and the PCI information of the base station to be planned determined based on the type information can be more accurate. After determining the type information of the base station to be planned, the system further determines the target module value symbiosis algorithm of the base station to be planned through the acquired type information. It can be understood that a base station can include multiple cells, and generally a base station includes 3 cells. Therefore, the base station to be planned in this application can preferably include 3 cells, and each cell corresponds to a different PCI value. Therefore, the PCI value group of the base station to be planned consists of one or more PCI values.

[0085] Specifically, the step of determining the target module value symbiosis algorithm of the base station to be planned according to the type information includes:

[0086] Step S11: If the type information is a room-based type, determining the first preset module-value symbiosis algorithm corresponding to the room-based type as a target module-value symbiosis algorithm for the base station to be planned;

[0087] Step S12: If the type information is a macro station type, the second preset module-value symbiosis algorithm corresponding to the macro station type is determined as a target module-value symbiosis algorithm of the base station to be planned.

[0088] It can be understood that the module value symbiosis algorithm in this embodiment includes a first preset module value symbiosis algorithm and a second preset module value symbiosis algorithm, wherein the first preset module value symbiosis algorithm in this embodiment is a 5G outdoor / macro station UMa-3D coverage PCIMOD value symbiosis algorithm, and the second preset module value symbiosis algorithm in this embodiment is a 5G indoor / room-divided 3D reuse distance MOD value symbiosis algorithm. Further, if it is determined that the type information of the base station to be planned is a macro station type, the system obtains the first preset module value symbiosis algorithm corresponding to the macro station type, and in this embodiment, the 5G outdoor / macro station UMa-3D coverage PCI MOD value symbiosis algorithm corresponding to the macro station type is obtained as the target module value symbiosis algorithm for the base station to be planned. On the contrary, if it is determined that the type information of the base station to be planned is a room-divided type, the system obtains the second preset module value symbiosis algorithm corresponding to the room-divided type, and in this embodiment, the 5G indoor / room-divided 3D reuse distance MOD value symbiosis algorithm corresponding to the room-divided type is obtained as the target module value symbiosis algorithm for the base station to be planned.

[0089] Step S20, determining the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm;

[0090] Furthermore, in the present embodiment, the target cellular algorithm is a room-divided hexagonal cellular algorithm or a macro-station hexagonal cellular algorithm. Therefore, the system first determines the corresponding target cellular algorithm according to the type information of the base station to be planned, that is, determines whether the target cellular algorithm of the base station to be planned is a room-divided hexagonal cellular algorithm or a macro-station hexagonal cellular algorithm. Further, the system calculates the planned PCI evaluation range of the base station to be planned according to the determined target cellular algorithm, and obtains the target base station working parameter information within the planned PCI evaluation range. Further, the system determines the PCI module value combination of the base station to be planned according to the determined target module value symbiosis algorithm and the obtained target base station working parameter information, so as to subsequently determine the target PCI value group of the base station to be planned based on the PCI module value combination of the base station to be planned, thereby realizing automatic and rapid PCI planning of the base station to be planned.

[0091] Step S30, generating a PCI value group set of the base station to be planned based on the PCI module value combination;

[0092] After determining the PCI module value combination of the base station to be planned, the system removes the PCI value from the total PCI value according to the PCI module value combination, removes the PCI value already used by the target base station within the planned PCI evaluation range from the total PCI value, and obtains the remaining available PCI value. Further, the system generates multiple groups of continuous candidate PCI values ​​that meet the MOD3 value condition as the PCI value group set of the base station to be planned based on the remaining available PCI value, so as to finally determine the target PCI value group of the base station to be planned based on the PCI value group set, and realize automatic and rapid PCI planning of the base station to be planned, wherein a group of PCI value groups contains multiple PCI values.

[0093] Further, the step of generating the PCI value group set of the base station to be planned based on the PCI module value combination includes:

[0094] Step S31, removing the PCI value from the total PCI value according to the PCI module value combination to obtain an available PCI value;

[0095] Step S32: Generate a PCI value group set of the base station to be planned according to the available PCI value.

[0096] After determining the PCI module value combination of the base station to be planned, the system removes the PCI values ​​used by multiple target base stations with the same frequency within the planned PCI evaluation range from the total PCI value according to the PCI module value combination of the base station to be planned of the macro station / room type, and obtains the remaining available PCI values. For example, 8 PCI values ​​used by multiple target base stations with the same frequency within the planned PCI evaluation range are removed from 1008 PCI values ​​to obtain the remaining available 1000 PCI values. Further, the system generates multiple groups of continuous candidate PCI values ​​that meet the module value condition (preferably MOD3 value in this embodiment) according to the number of planned cells with the same frequency for a single base station (less than or equal to 3), and the PCI value group set of the base station to be planned is formed by multiple groups of continuous candidate PCI values ​​that meet the module value condition. The target PCI value group of the base station to be planned is finally determined according to the PCI value group set, so as to realize automatic and rapid PCI planning of the base station to be planned.

[0097] Step S40: performing a multiplexing distance calculation on the PCI value group set, and determining a target PCI value group of the base station to be planned according to the multiplexing distance calculation result.

[0098] After determining the PCI value group set of the base station to be planned, the system calculates the comprehensive reuse distance of each PCI value group in the PCI value group set, and determines the target comprehensive reuse distance from each comprehensive reuse distance, and finally determines the target PCI value group of the base station to be planned according to the target comprehensive reuse distance. By calculating the reuse distance between the PCI value group sets, the target PCI value group of the base station to be planned is determined, and on the basis of automatically and quickly performing the PCI planning of the base station to be planned, the accuracy of the planned PCI value group of the base station to be planned can also be ensured.

[0099] Furthermore, the system includes the base station cell that determines the optimal PCI (the planned target PCI value group) into the engineering parameter database as a reference data source for PCI planning of other base stations.

[0100] This embodiment provides a PCI planning method, device, medium and computer program product, which obtains the type information of the base station to be planned, determines the target module value symbiosis algorithm of the base station to be planned according to the type information; determines the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm; generates the PCI value group set of the base station to be planned based on the PCI module value combination; performs reuse distance calculation on the PCI value group set, and determines the target PCI value group of the base station to be planned according to the reuse distance calculation result. This application can automatically determine the type of the base station to be planned, and then first calculate the PCI module value combination of the base station to be planned according to the module value symbiosis algorithm corresponding to the base station type, and then generate the PCI value group set of the base station to be planned based on the PCI module value combination, and finally determine the target PCI value group of the base station to be planned by calculating the reuse distance between the PCI value groups. On the basis of automatically and quickly performing PCI planning of the base station to be planned, the accuracy of the planned PCI value group of the base station to be planned can also be ensured.

[0101] Further, refer to Figure 3 Based on the first embodiment of the PCI planning method of the present application, a second embodiment of the PCI planning method of the present application is proposed. In the second embodiment, the step of performing multiplexing distance calculation on the PCI value group set and determining the target PCI value group of the base station to be planned according to the multiplexing distance calculation result includes:

[0102] Step S41, respectively calculating the comprehensive multiplexing distance of each PCI value group of the PCI value group set;

[0103] Step S42, determining a target comprehensive multiplexing distance from each of the comprehensive multiplexing distances;

[0104] Step S43: determining a target PCI value group of the base station to be planned according to the target comprehensive reuse distance.

[0105] After generating the PCI value group set of the base station to be planned, the system calculates the comprehensive multiplexing distance of each PCI value group in the PCI value group set, specifically, calculates the first multiplexing distance of each PCI value in each PCI value group, and the second multiplexing distance of each PCI value under the preset modulus value, and then determines the first target multiplexing distance in each first multiplexing distance and the second target multiplexing distance in each second multiplexing distance. In this embodiment, the preset modulus value here is the modulus thirty value, that is, the MOD30 value. Further, according to the first target multiplexing distance and the second target multiplexing distance, determine the comprehensive multiplexing distances corresponding to each PCI value group. Further, the system compares the values ​​of each comprehensive multiplexing distance, for example, compares each comprehensive multiplexing distance one by one, and obtains the comprehensive multiplexing distance with the largest value from multiple comprehensive multiplexing distances as the target comprehensive multiplexing distance. Furthermore, the system indexes the corresponding PCI value according to the target multiplexing distance, uses the PCI value as the optimal planned PCI value, extracts the PCI value group where the optimal planned PCI value is located, and determines the PCI value group where the optimal planned PCI value is located as the target PCI value group of the base station to be planned. Through the above process, automatic, fast and accurate PCI planning of the base station to be planned can be achieved.

[0106] Further, the step of respectively calculating the comprehensive multiplexing distance of each PCI value group of the PCI value group set includes:

[0107] Step S411, for each PCI value group of the PCI value group set, execute steps S412-S414 respectively;

[0108] Step S412, calculating a first multiplexing distance of each PCI value in the PCI value group, and a second multiplexing distance of each PCI value under a preset modulus;

[0109] Step S413, respectively determining a first target multiplexing distance in each of the first multiplexing distances and a second target multiplexing distance in each of the second multiplexing distances;

[0110] Step S414: determining a comprehensive multiplexing distance of the PCI value group according to the first target multiplexing distance and the second target multiplexing distance.

[0111] When calculating the comprehensive reuse distance of each PCI value group in the PCI value group set respectively, the system can sort each PCI value group, for example, sort from large to small or from small to large according to the numerical value, and process each PCI value group one by one according to the sorted order. The specific processing steps are: the system obtains the PCI value group that needs to be processed after sorting, first calculates the nearest reuse distance of each PCI value in the PCI value group within the planned PCI evaluation range of a radius of 10Km as the first reuse distance, and obtains the nearest reuse distance of each PCI value as the second reuse distance under the preset modulus thirty value. Further, the system determines the first reuse distance with the smallest value from multiple first reuse distances, and determines the first reuse distance as the first target reuse distance; and, determines the second reuse distance with the smallest value from multiple second reuse distances, and determines the second reuse distance as the second target reuse distance. Further, the system compares the first target multiplexing distance with the second target multiplexing distance, and determines the multiplexing distance with the smallest value between the first target multiplexing distance and the second target multiplexing distance as the comprehensive multiplexing distance of the PCI value group. The system performs the above processing steps multiple times until all PCI value groups are processed, and the comprehensive multiplexing distances corresponding to each PCI value group are obtained.

[0112] Taking each group of 3 cells as an example, given N groups of candidate PCI values ​​and their mod30 values, calculate the closest reuse distance L of the same frequency, same PCI and same mod30 value in the preliminary cellular evaluation area with a radius of 10 km. P and L M (3 in each group), select 3 L P The minimum value among them is taken as the reuse distance L of this group of PCI PCI_N and 3 L M The minimum value in the table is used as the reuse distance L of the group of PCI mod30 values. M30_N The two correspond one to one and take the minimum value of the two as the comprehensive multiplexing distance L of the reorganized PCI PCIM_N , and finally in group N L PCIM_N Select the maximum value L PCIM_max And index the corresponding PCI value as the optimal planned PCI value.

[0113] This embodiment calculates the comprehensive reuse distance of each PCI value group of the PCI value group set respectively, determines the target comprehensive reuse distance from each comprehensive reuse distance, and determines the target PCI value group of the base station to be planned according to the target comprehensive reuse distance. On the basis of automatically and quickly performing PCI planning of the base station to be planned, the accuracy of the planned PCI value group of the base station to be planned can also be ensured.

[0114] Further, refer to Figure 4Based on the first embodiment of the PCI planning method of the present application, a third embodiment of the PCI planning method of the present application is proposed. In the third embodiment, the step of determining the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm includes:

[0115] Step S21, determining a target cellular algorithm of the base station to be planned according to the type information;

[0116] Step S22, calculating the planned PCI evaluation range of the base station to be planned according to the target cellular algorithm;

[0117] Step S23, obtaining the target base station engineering parameter information within the planned PCI evaluation range;

[0118] Step S24: determining the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm and the target base station engineering parameter information.

[0119] It can be understood that when determining the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm, it is also necessary to combine the target base station engineering parameter information within the planned PCI evaluation range to achieve it. Therefore, the system first determines the target cellular algorithm of the base station to be planned according to the type information. Specifically, if the type information of the base station to be planned is a macro station type, the system obtains the macro station hexagonal cellular algorithm corresponding to the macro station type, and determines the macro station hexagonal cellular algorithm as the target cellular algorithm for the base station to be planned. Furthermore, the system calculates the planned PCI evaluation range of the base station to be planned according to the target cellular algorithm. Specifically, since the 5G network is still a digital cellular network, its coverage area can be divided into many cellular geographical areas. When evaluating whether the PCI planning of the 5G base station is effective and optimal, the present application first constructs a preliminary cellular evaluation area (defined area S) of the PCI of the base station to be planned, which is used to analyze the distribution of 5G physical base station construction in the area (defined average horizontal station spacing d in the area). Ave ), and because 5G base stations are usually co-located with GSM / LTE, this application uses the typical maximum coverage distance of the GSM base station with the strongest comprehensive coverage capability (10km) as the radius of the preliminary cellular assessment area of ​​the 5G base station (defined as L). So far, this application can calculate and collect the area of ​​the preliminary cellular assessment area of ​​the 5G base station PCI and the number of 5G physical base stations in the area (defined as Nun). Based on the area S and the number of 5G physical base stations, the theoretical value S of the average coverage area of ​​the base stations can be calculated. BS In this application, the coverage of each sector of the base station still adopts the honeycomb theoretical model, the sector coverage radius is positioned as, and the theoretical station spacing is defined as d, where the calculation of the theoretical value of the average coverage area and the definition of the theoretical station spacing are shown in the following formula:

[0120]

[0121]

[0122] The theoretical value of the average station spacing in the region can be deduced from the above formula:

[0123]

[0124] Furthermore, according to the PCI conflict and confusion avoidance principle, the size of the actual evaluation range should be related to the addition range of two-way neighboring cells. This solution collects and counts the addition of co-frequency neighboring cells in 700,000 LTE cells in a province and finds that the maximum addition range of co-frequency neighboring cells is the third layer in the positive direction. This application draws on the LTE co-frequency neighboring cell addition maximum distance (three layers) + fault tolerance layer (one layer), a total of four layers (4 times the average station spacing) as the planned PCI evaluation range of the base station to be planned. The system further obtains the target base station engineering parameter information within the planned PCI evaluation range, where the target base station is one or more co-frequency base stations within the planned PCI evaluation range, and the engineering parameter information includes longitude and latitude, antenna height, azimuth, downtilt angle, downlink frequency, PCI, etc.

[0125] In contrast, if the type information of the base station to be planned is the indoor type, the system obtains the indoor hexagonal cellular algorithm corresponding to the indoor type, and determines the indoor hexagonal cellular algorithm as the target cellular algorithm of the base station to be planned. Further, the system calculates the planned PCI evaluation range of the base station to be planned according to the target cellular algorithm. Specifically, the indoor cell mainly covers indoors, and the interaction with the outdoor generally involves the first-layer macro base station. According to the 5G coverage general model calculation: 5G macro base stations (2.6GHz) have a station spacing of about 500m (radius 250m), and 5G macro base stations (3.5GHz) have a station spacing of about 350m (radius 175m). This application uses a 5G indoor cell (2.6GHz) located in the middle of the coverage limits of two macro base stations (2 times the macro base station spacing radius) and takes into account the remote coverage of the indoor base station (increasing the macro base station spacing radius by 1 times as the fault tolerance range), a total of 3 times the macro base station spacing radius (750m) as the planned PCI evaluation range of the base station to be planned. The system further obtains the target base station engineering parameter information within the planned PCI evaluation range, where the target base station is one or more co-frequency base stations within the planned PCI evaluation range. The engineering parameter information includes latitude and longitude, antenna height, azimuth, downtilt angle, downlink frequency, PCI, etc. The engineering parameter information can be obtained through the real-time engineering parameter library.

[0126] After obtaining the target base station engineering parameter information within the planned PCI evaluation range, the system determines the optimal PCI module value combination of the base station to be planned based on the target module value symbiosis algorithm combined with the obtained target base station engineering parameter information.

[0127] Specifically, the step of determining the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm and the target base station engineering parameter information includes:

[0128] Step S241, calculating the symbiotic mutual exclusion force value of the target base station according to the first preset module value symbiosis algorithm and the target base station engineering parameter information, and determining the PCI module value combination of the base station to be planned according to the symbiotic mutual exclusion force value; or

[0129] Step S242: Calculate the third reuse distance of the target base station according to the second preset module value symbiosis algorithm and the target base station working parameter information, and determine the PCI module value combination of the base station to be planned according to the third reuse distance.

[0130] Further, the system calculates the symbiotic mutual repulsion value of the target base station according to the first preset module value symbiotic algorithm and the target base station working parameter information. Specifically, the first preset module value symbiotic algorithm in this embodiment is a 5G outdoor / macro station UMa-3D coverage PCI MOD value symbiotic algorithm, which is based on the 5G Uma-3D path loss model to build the PCI of the macro station cell to be planned. Under the influence of four factors such as "antenna height", "total antenna tilt angle", "base station spacing" and "cell coverage azimuth", the maximum symbiotic mutual repulsion value P of other cells with the same frequency and MOD3 value within the evaluation range when allocating MOD0, 1, and 2 values M , the greater the mutual exclusion force value, the lower the priority of MOD3 value allocation; conversely, the higher the priority. M The calculation is shown in the following formula:

[0131]

[0132] Among them, h P h is the antenna height of the base station to be planned (m), Ave is the average antenna height (m) of the same-frequency base stations (i.e., target base stations) within the planned PCI evaluation range, and f hUma is the antenna height symbiosis coefficient based on the Uma-3D path loss model, i Ave is the average total downtilt angle of the same-frequency base station antenna within the planned PCI evaluation range, i P is the total downtilt angle of the cell antenna of the base station to be planned, f i is the antenna tilt symbiosis coefficient based on the 5G general coverage model, d Ave is the average distance between base stations in the region, d P is the horizontal distance between the planned cell and the same-frequency cells in the area, f DUma is the symbiosis coefficient of base station spacing based on the Uma-3D path loss model, A P is the angle between the planned cell and the target cell in the area (same frequency and same MOD3 value), f AIt is the symbiosis coefficient of the azimuth angle between the planned cell and the target cell (same frequency).

[0133] when When , the value is 1, when When , the value is 0.1, when , the value is 0.1.

[0134] For the antenna height symbiosis coefficient f hUma , the antenna height refers to the height from the bottom edge of the antenna to the horizontal ground h BS , the average height h of the base station antennas with the same frequency as the planned cell within the evaluation range Ave , height sampling standard deviation σ h , number of base stations n, height sampling error coefficient σ n , using σ n The discrete fluctuation of antenna height values ​​within the statistical evaluation range, σ n The smaller it is, the more average the antenna heights of the cells within the range are, that is, the planned cell antenna height is less sensitive to the impact of the same-frequency cells within the range, and vice versa.

[0135]

[0136] Based on the Uma-3D path loss coverage model, within a certain range of environmental factors (hUT, d2D, h, d′ BP 、h E ) should be consistent with the planned base station. The maximum discrete value of the average height of the cell antenna with the same frequency as the planned cell within the defined range is h T ,h T With h Ave The Uma-3D coverage path losses under the influence are PL hT With PL hAve ,h T With h Ave The height difference between them is hσ n , hσ n The Uma-3D coverage loss variable under PL h σ n ,as follows:

[0137] h T =(1+σ n )×h Ave

[0138]

[0139] Therefore, this application defines the 5G cell PCI planning antenna height symbiosis coefficient

[0140] For the total antenna tilt symbiosis coefficient f iThe total downtilt angle of the antenna refers to the sum of the antenna's built-in electronic tilt angle and the angle between the antenna and the vertical plane (mechanical tilt angle) (i has been defined above). Its size directly affects the effective coverage distance of the cell. The vertical half-power angle of the 5G antenna is defined as ε (the angle at which the power drops to half of the main lobe direction by 3dB). Based on the general model of tilt angle and coverage distance, the relationship between the downtilt angle of the cell antenna and the farthest theoretical coverage radius can be derived.

[0141] This application knows that the average total downtilt angle i of the cell antenna with the same frequency as the 5G planned cell within the evaluation range Ave 、Antenna average height h Ave , antenna average vertical half-power angle ε Ave , the farthest theoretical average coverage radius R Ave .

[0142]

[0143] Here, we also add the down-tilt sampling error coefficient σ n1 , vertical half-power angle sampling error coefficient σ n2 , evaluate the sensitivity of the planned cell antenna tilt angle and vertical half-power angle to the same frequency cells within the range (the sampling error coefficient σ at the same height in the derivation method n , no longer listed in detail), after adding the sampling error, the maximum discrete values ​​of the average inclination angle and the vertical half-power angle are defined as i T , ε T , the maximum average coverage radius R of the cell under the action of discrete values iT .

[0144] i T =(1+σ n1 )×i Ave ε T =(1-σ n2 )×ε Ave

[0145]

[0146] Therefore, this application defines the 5G cell PCI planning antenna total tilt symbiosis coefficient

[0147] Base station spacing symbiosis coefficient f DUma Here, the base station spacing refers to the mean horizontal distance between the 5G planned site cell and all the same-frequency sites within the evaluation range. PAve , the number of base stations with the same frequency is n, and the maximum fluctuation coefficient of all horizontal distance values ​​is σ n3 .

[0148]

[0149] Based on the Uma-3D path loss coverage model (the same antenna height symbiosis coefficient f hUma , all sites within a certain range are covered by the Uma-3D path loss model, and other horizontal spacing d is not involved 2D environmental factors), define d PAve The Uma-3D coverage loss under the influence is PL dPAve , the maximum horizontal distance after adding the fluctuation coefficient is d PT The Uma-3D coverage loss under its influence is PL dT .

[0150]

[0151] Therefore, this application defines the 5G cell PCI planning base station spacing symbiosis coefficient as:

[0152]

[0153] Azimuth Angle A P and its symbiosis coefficient f A : Whether the cells with the same frequency and MOD3 value between 5G base stations collide and the degree of collision is one of the key factors affecting the PCI planning of the cell. This application connects the planned cell with the cells with the same frequency and MOD3 value (length L 1 ) and define the angle between the planned cell coverage direction and the connecting line as α 1 The angle between the coverage direction of the cell with the same frequency and MOD3 value and the connecting line is β 1 ,but:

[0154] α=min(α 1 , 360°-α 1 ) β=min(β 1 , 360°-β 1 )

[0155] A P =α+β

[0156] However, we found that when the base station cells with the same frequency and MOD3 value are located at different locations around the 5G planned cell, their A P The calculation methods are also different, so this application introduces the quadrant method (S Quadrant ) defines the location and divides the vertical direction of the 5G planned base station into four quadrants according to the cell azimuth.

[0157]

[0158] Looking down at the 5G surrounding area, the base station cells with the same frequency and MOD3 value as the planned base station are also located in the four quadrants, defining the longitude and latitude of the 5G planned base station cell A (x 1 ,y1 ), the latitude and longitude of base station cell B with the same frequency and MOD3 value (x 2 ,y 2 ), the vertical connection point C of the longitude and latitude of cells A and B, and the distance L between the two 1 , the horizontal distance L between the two 2 , the vertical distance between the two is L 3 , the azimuth angle of the planned base station cell A is γ, the azimuth angle of the planned base station cell B with the same frequency and MOD3 value is δ, ∠BAC is ∠A, ∠ABC is ∠B, and ∠ACB is ∠C, as follows:

[0159] L 1 =|(x 1 ,y 1 )-(x 2 ,y 2 )|

[0160]

[0161]

[0162]

[0163]

[0164]

[0165] Based on the above information, we can gradually deduce that when the same frequency and MOD3 value base station cell B is located in the four quadrants of the 5G planned base station cell A, different azimuth angle values ​​A P (α+β), as follows:

[0166]

[0167]

[0168] When the angle A between the 5G planned base station cell and all base station cells with the same frequency and MOD3 value in the evaluation range P After clarifying, we can also get the mean value of the azimuth angle A Ave Based on the influence trend of the actual cell MOD3 value and the azimuth angle (the larger the angle between the two cells, the more back-to-back coverage, and the smaller the interference impact), this application defines the symbiosis coefficient of the directional angle as

[0169] This application takes 3 cells under a typical 5G macro base station as an example, and traverses and calculates the 9 strongest symbiotic mutual exclusion values ​​of the 3 cells with the surrounding target cells when the PCI selects MOD0, 1, and 2 respectively. Combined with the "reverse elimination method", the optimal PCI MOD3 value combination of the planned base station cell is determined. The algorithm is as follows (modx, y, and z are used to replace the unknown mod3 value):

[0170] Select 9 strongest symbiotic mutual repulsion values ​​P M The maximum value among them corresponds to the worst modulo 3 value mod(x) and is indexed to the corresponding cell A, and mod(x) allocated to cell A is eliminated;

[0171] Take cell A as the starting cell for planning, and continue to allocate the other two MOD3 values, and select the symbiotic mutual exclusion value P of the two. M The MOD3 value mod(y) corresponding to the minimum value is taken as the optimal MOD3 value of cell A;

[0172] After removing the cell A with mod(y) and the determined mod3 value, continue to select the remaining 4 cells with the strongest mutual exclusion force value P M The maximum value is selected, which corresponds to the inferior MOD3 value and is indexed to the corresponding cell B;

[0173] If the second-worst MOD3 value is mod(x), then cell B is allocated another mod(z), and the remaining C cells are allocated mod(x); if the second-worst MOD3 value is mod(z), then cell B is allocated another mod(x), and the remaining C cells are allocated mod(z), and the PCI modulus value combination of the base station to be planned is determined.

[0174] Alternatively, the system calculates the third reuse distance of the target base station according to the second preset modulus symbiosis algorithm and the target base station engineering parameter information, and determines the PCI modulus combination of the base station to be planned according to the third reuse distance. Specifically, the second preset modulus symbiosis algorithm in this embodiment is the 5G indoor / indoor 3D reuse distance MOD value symbiosis algorithm.

[0175] Because the indoor coverage area is mainly indoors, for large indoor distribution, the same frequency and MOD3 value cells should be avoided to cover the same area. This application takes 3 (multiple) cells under the 5G indoor distribution site as an example, and calculates the 5G planning cell PCI allocation MOD0, 1, 2 values ​​based on the cell latitude and longitude and coverage scene field (floor). There are 9 nearest 3D reuse distances L with other cells with the same frequency and MOD3 value within the evaluation range. MOD (The horizontal distance is the horizontal straight line distance L between the two cells 1 , as described above for the macro station), and also use the "reverse elimination method" as the basis for selecting the optimal MOD value combination for the 5G indoor cell, as follows:

[0176] According to the longitude and latitude of the indoor planned cell, all indoor cell information (MOD3 value, coverage scenario field, etc.) with the same frequency within the cellular evaluation range of a radius of 750m is collected.

[0177] According to the coverage scenario field (number of floors F, residential / office building scenario 1F = 3m, factory / production scenario 1F = 6m standard), the budget planning and target indoor cell coverage height h (h P and h B ), divided into the maximum height h Pmax / h Bnax , minimum height h Pmin / h Bmin , for a cell with only a single layer of coverage h max =h min .

[0178]

[0179] Select the 9 nearest 3D reuse distances L MOD The minimum value in corresponds to the worst modulo 3 value mod(x) and is indexed to the corresponding cell A, and mod(x) allocated to cell A is eliminated;

[0180]

[0181] Take cell A as the starting cell for planning, continue to allocate the other two MOD3 values, and select the MOD3 value mod(y) corresponding to the minimum value of the two closest 3D reuse distances as the optimal MOD3 value of cell A;

[0182] After removing the cell A with mod(y) and the determined mod3 value, continue to select the remaining 4 cells with the closest 3D reuse distance L. MOD The minimum value is selected, which corresponds to the inferior MOD3 value and is indexed to the corresponding cell B;

[0183] If the second-worst MOD3 value is mod(x), then cell B is allocated another mod(z), and the remaining C cells are allocated mod(x); if the second-worst MOD3 value is mod(z), then cell B is allocated another mod(x), and the remaining C cells are allocated mod(z), and the PCI modulus value combination of the base station to be planned is determined.

[0184] This embodiment determines the target cellular algorithm of the base station to be planned according to the type information; calculates the planned PCI evaluation range of the base station to be planned according to the target cellular algorithm; obtains the target base station engineering parameter information within the planned PCI evaluation range; and determines the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm and the target base station engineering parameter information. According to different types of base stations to be planned, corresponding cellular algorithms are obtained to accurately obtain the target base station and its engineering parameter information, and then the PCI module value combination of the base station to be planned is determined according to the target module value symbiosis algorithm and the target base station engineering parameter information, so that the determined PCI module value combination of the base station to be planned is more accurate and effective, and the PCI value planned according to the PCI module value combination is more accurate.

[0185] In addition, the present application also provides a medium, which is preferably a computer-readable storage medium, on which a PCI planning program is stored. When the PCI planning program is executed by a processor, the steps of each embodiment of the above PCI planning method are implemented.

[0186] In addition, the present application also provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps of each embodiment of the above-mentioned PCI planning method are implemented.

[0187] In the embodiments of the PCI planning device, computer-readable storage medium and computer program product of the present application, all technical features of the above-mentioned PCI planning method embodiments are included, and the descriptions and explanations are basically the same as those of the above-mentioned PCI planning method embodiments, and are not repeated here.

[0188] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0189] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0190] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD), and includes several instructions to enable a terminal device (which can be a fixed terminal, such as an IoT smart device, including smart air conditioners, smart lights, smart power supplies, smart routers and other smart homes; it can also be a mobile terminal, including smart phones, wearable networked AR / VR devices, smart speakers, self-driving cars and many other networked devices) to execute the methods described in the various embodiments of the present application.

[0191] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A PCI planning method, characterized in that: The PCI planning method includes: Acquire type information of the base station to be planned, and determine a target module value symbiosis algorithm for the base station to be planned according to the type information; Determine the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm; generate the PCI value group set of the base station to be planned based on the PCI module value combination; Performing a multiplexing distance calculation on the PCI value group set, and determining a target PCI value group of the base station to be planned according to the multiplexing distance calculation result; The type information includes a room type and a macro station type, the target module value symbiosis algorithm includes a first preset module value symbiosis algorithm and a second preset module value symbiosis algorithm, and the step of determining the target module value symbiosis algorithm of the base station to be planned according to the type information includes: if the type information is a macro station type, then determining the first preset module value symbiosis algorithm corresponding to the macro station type as the target module value symbiosis algorithm of the base station to be planned; if the type information is a room type, then determining the second preset module value symbiosis algorithm corresponding to the room type as the target module value symbiosis algorithm of the base station to be planned; The step of determining the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm includes: determining the target cellular algorithm of the base station to be planned according to the type information; calculating the planned PCI evaluation range of the base station to be planned according to the target cellular algorithm; obtaining the target base station engineering parameter information within the planned PCI evaluation range; determining the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm and the target base station engineering parameter information; The step of determining the PCI module value combination of the base station to be planned according to the target module value symbiosis algorithm and the target base station working parameter information includes: calculating the symbiotic mutual exclusion value of the target base station according to the first preset module value symbiosis algorithm and the target base station working parameter information, and determining the PCI module value combination of the base station to be planned according to the symbiotic mutual exclusion value; or, calculating the third multiplexing distance of the target base station according to the second preset module value symbiosis algorithm and the target base station working parameter information, and determining the PCI module value combination of the base station to be planned according to the third multiplexing distance; The method for calculating the symbiotic mutual repulsion value of the target base station includes: Among them, hP is the antenna height of the base station to be planned (m), hAve is the average antenna height of the same-frequency base station (i.e., target base station) within the planned PCI evaluation range (m), fhUma is the antenna height symbiosis coefficient based on the Uma-3D path loss model, iAve is the average total downtilt angle of the same-frequency base station antenna within the planned PCI evaluation range, iP is the total downtilt angle of the cell antenna of the base station to be planned, fi is the antenna tilt symbiosis coefficient based on the 5G general coverage model, dAve is the average base station spacing in the area, dP is the horizontal distance between the planned cell and each same-frequency cell in the area, fDUma is the base station spacing symbiosis coefficient based on the Uma-3D path loss model, AP is the angle between the planned cell and the target cell in the area (same frequency and same MOD3 value), and fA is the symbiosis coefficient of the azimuth angle between the planned cell and the target cell (same frequency).

2. The PCI planning method according to claim 1, wherein: The step of performing multiplexing distance calculation on the PCI value group set and determining the target PCI value group of the base station to be planned according to the multiplexing distance calculation result comprises: respectively calculating the comprehensive multiplexing distance of each PCI value group of the PCI value group set; Determining a target comprehensive multiplexing distance from each of the comprehensive multiplexing distances; The target PCI value group of the base station to be planned is determined according to the target comprehensive multiplexing distance.

3. The PCI planning method according to claim 2, wherein: The step of respectively calculating the comprehensive multiplexing distance of each PCI value group of the PCI value group set comprises: For each PCI value group of the PCI value group set, the following steps are performed respectively: Calculating a first multiplexing distance of each PCI value in the PCI value group and a second multiplexing distance of each PCI value under a preset modulus; Respectively determining a first target multiplexing distance in each of the first multiplexing distances and a second target multiplexing distance in each of the second multiplexing distances; A comprehensive multiplexing distance of the PCI value group is determined according to the first target multiplexing distance and the second target multiplexing distance.

4. The PCI planning method according to claim 1, wherein: The step of generating the PCI value group set of the base station to be planned based on the PCI module value combination includes: Eliminate the PCI value from the total PCI value according to the PCI module value combination to obtain an available PCI value; A PCI value group set of the base station to be planned is generated according to the available PCI value.

5. A PCI planning device, characterized in that: The PCI planning device includes a memory, a processor, and a PCI planning program stored in the memory and executable on the processor. When the PCI planning program is executed by the processor, the steps of the PCI planning method according to any one of claims 1 to 4 are implemented.

6. A medium, the medium being a computer-readable storage medium, characterized in that: The computer-readable storage medium stores a PCI planning program, and when the PCI planning program is executed by a processor, the steps of the PCI planning method according to any one of claims 1 to 4 are implemented.

7. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the PCI planning method according to any one of claims 1 to 4 are implemented.

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