Network wireless resource analysis method and device, electronic equipment and storage medium

Abstract

The application discloses a network wireless resource analysis method and device, electronic equipment and a storage medium. The network wireless resource analysis comprises the following steps: obtaining an associated standardized network resource management file, wherein the associated standardized network resource management file is obtained by associating relevant fields of a standardized network resource management file with relevant fields of network resources; and analyzing wireless resource data based on the associated standardized network resource management file. Through the above method, the application achieves the beneficial effects of improving efficiency and accuracy and reducing cost.

Description

Technical Field

[0001] This invention relates to the field of communication resource management technology, specifically to a method, apparatus, electronic device, and storage medium for analyzing network wireless resources. Background Technology

[0002] With the deepening construction of 4G / 5G networks, wireless network resources are continuously increasing, and network topologies are evolving from relatively simple single-layer networks to complex multi-layer networks. How to quickly and efficiently complete existing network wireless resource statistics, device logical associations, wireless network redundancy analysis, accurately assess the matching of service volume and resources, and enhance network robustness is a pressing issue. Current wireless network resource statistical analysis relies on manufacturer network management command outputs, querying through multiple operation commands, and then associating and statistically analyzing based on key fields. After the statistical results are output, resource redundancy analysis is performed manually based on device performance.

[0003] In the process of realizing this invention, the inventors discovered at least the following problems in the prior art:

[0004] 1) The number of existing cells is huge, involving many network administrators. Fully realizing the query of all wireless resources involves many commands, and manual matching and association calculations are required after the query is completed, which is inefficient and costly.

[0005] 2) Wireless resources involve multiple manufacturers, standards, and equipment types, requiring operators to have a certain level of familiarity with the manufacturers' equipment and wireless network optimization skills. Current solutions suffer from inaccurate and missed statistics, resulting in low accuracy.

[0006] 3) The current solution only completes the statistics of wireless resources, but does not carry out a unified analysis and utilization process for wireless resource data, and cannot use the wireless data results to improve network quality. Summary of the Invention

[0007] In view of the above problems, embodiments of the present invention are proposed to provide a network wireless resource analysis method and corresponding apparatus, electronic device and storage medium that overcome the above problems or at least partially solve the above problems.

[0008] According to one aspect of the present invention, a network radio resource analysis method is provided, comprising:

[0009] Obtain the associated standardized network resource management file, wherein the associated standardized network resource management file is obtained by associating the relevant fields of the standardized network resource management file with the relevant fields of the network resource;

[0010] Wireless resource data is analyzed based on the relevant fields of the associated standardized network resource management file.

[0011] Optionally, before the step of obtaining the associated standardized network resource management file, the method further includes:

[0012] By associating the relevant fields of the standardized network resource management document with the relevant fields of the network resource, the associated standardized network resource management document is obtained.

[0013] Optionally, the network resources include at least two of the following: antenna, RRU, sector, site, cell, and board.

[0014] The board includes a baseband board and / or a main control board.

[0015] Optionally, relevant fields from standardized network resource management documents can be associated with relevant fields from network resources, including:

[0016] Associating sites with boards, associating boards with sectors, associating sectors with RRUs, associating RRUs with cells, associating cells with antennas, and / or associating cells with base stations.

[0017] Optionally, the wireless resource data is analyzed based on the relevant fields of the associated standardized network resource management file, including:

[0018] Co-RRU analysis, co-site analysis, cell co-coverage analysis, special scenario judgment, abnormal operating parameter correction, resource redundancy judgment, and statistics of cells with abnormal resources.

[0019] Optionally, the co-location analysis includes:

[0020] Obtain the BBU latitude and longitude from the standardized network resource management file;

[0021] Based on the latitude and longitude, determine whether the difference in latitude and longitude between different base stations is within the set parameters.

[0022] Optionally, the cell co-coverage analysis includes:

[0023] Determine whether different cells share an antenna based on the associated standardized network resource management file;

[0024] If they do not share an antenna, obtain the latitude, longitude, and azimuth information of the cell from the standardized network resource management file;

[0025] Based on the latitude, longitude, and azimuth information, determine whether it is the same coverage cell;

[0026] and / or

[0027] The special scenarios mentioned in the special scenario judgment include: RRU splitting scenario, RRU dual-segmentation cell, RRU SFN cell or multi-carrier cell;

[0028] and / or

[0029] The abnormal parameter correction includes checking and correcting important fields in the asset management data through a standardized network resource management file, wherein the standardized network resource management file reserves an entry point for updating abnormal parameters;

[0030] and / or

[0031] The resource redundancy determination includes the baseband board's remaining capacity, the RRU's remaining power, and the RRU's available bandwidth;

[0032] The remaining capacity of the baseband board is calculated by summing up all the cells connected to the baseband board and subtracting the maximum number of cells that the baseband board can support from the number of cells that have already been connected to the baseband board.

[0033] The remaining power of the RRU is obtained based on the RRU's capabilities and the cells currently connected to the RRU.

[0034] The available bandwidth of the RRU is obtained by summing the bandwidth supported by the RRU and the bandwidth of the cells currently connected to the RRU.

[0035] and / or

[0036] The types of resource anomalies in the statistics of resource-abnormal cells include:

[0037] Sites where the baseband board has no cell established, sites where the RRU has no cell established, or sites where the baseband board has redundancy.

[0038] According to another aspect of the present invention, a network wireless resource analysis apparatus is provided, comprising:

[0039] The acquisition module is used to acquire the associated standardized network resource management file, wherein the associated standardized network resource management file is obtained by associating the relevant fields of the standardized network resource management file with the relevant fields of the network resource;

[0040] The analysis module is used to analyze wireless resource data based on relevant fields of the associated standardized network resource management file.

[0041] According to another aspect of the present invention, a computing device is provided, comprising: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other through the communication bus;

[0042] The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the above-described network wireless resource analysis method.

[0043] According to another aspect of the present invention, a computer storage medium is provided, the storage medium storing at least one executable instruction, the executable instruction causing a processor to perform an operation corresponding to the network wireless resource analysis method described above.

[0044] According to the solution provided in the above embodiments of the present invention, the network wireless resource analysis method can manage and analyze network resources based on associated standardized network resource management files, and automatically manage and analyze network resources, thereby solving the problems of low efficiency, high cost and low accuracy, and achieving the beneficial effects of improving efficiency and accuracy and reducing costs.

[0045] The above description is merely an overview of the technical solutions of the embodiments of the present invention. In order to better understand the technical means of the embodiments of the present invention and to implement them in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the embodiments of the present invention more obvious and understandable, specific implementation methods of the embodiments of the present invention are described below. Attached Figure Description

[0046] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0047] Figure 1 A flowchart of the network wireless resource analysis method provided in an embodiment of the present invention is shown;

[0048] Figure 2 A flowchart of a network wireless resource analysis method according to another embodiment of the present invention is shown;

[0049] Figure 3 A schematic diagram of the structure of the network wireless resource analysis method apparatus provided in an embodiment of the present invention is shown;

[0050] Figure 4 A schematic diagram of the structure of a computing device provided in an embodiment of the present invention is shown. Detailed Implementation

[0051] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this invention will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0052] Figure 1A flowchart of a network wireless resource analysis method provided in an embodiment of the present invention is shown. Figure 1 As shown, the method includes the following steps:

[0053] Step S102: Obtain the associated standardized network resource management file, wherein the associated standardized network resource management file is obtained by associating the relevant fields of the standardized network resource management file with the relevant fields of the network resource;

[0054] Standardized network resource management documents are standard documents used uniformly by various equipment vendors and network providers in the network, such as the northbound NRM configuration file.

[0055] The northbound interface is the interface used by manufacturers or operators to access and manage the network; it's the interface provided upwards. Various application systems are developed using this interface to manage managed objects. The management method involves collecting and analyzing various data generated by the managed objects during operation. In telecommunications networks and NGN networks (Next Generation Convergence Networks), management is implemented in layers, which can be divided into three layers: the application layer, the data processing layer, and the data management layer. The data interaction between the application layer and the data processing layer is defined by an interface. Since the application layer is located above the data processing layer, this interface is called the northbound interface.

[0056] NRM configuration files are network resource management files. In this specific implementation scenario, the northbound NRM configuration file is used, but in network communication, files with the same properties as the northbound NRM configuration file are called standardized network resource management files.

[0057] Step S103: Analyze the wireless resource data based on the relevant fields of the associated standardized network resource management file.

[0058] Once network resource relationships are established using standardized network resource management files, various network resources can be analyzed by running corresponding programs to retrieve relevant fields. This includes obtaining cell parameters, RRU types, baseband board types, and performing physical association analyses such as 4G / 5G co-RRU analysis, co-site analysis, and co-coverage cell analysis. Specific achievable functions are as follows:

[0059] The system includes cell resource association query, base station resource statistics, physical co-location judgment, redundant resource statistics, 4G / 4G and 4G / 5G RRU co-location analysis, co-coverage cell judgment, abnormal operating parameter correction, special scenario judgment, and presentation of abnormal cell statistics.

[0060] In this embodiment, the associated standardized network resource management file is pre-configured and can be directly obtained in network wireless resource analysis.

[0061] The analysis of wireless resource data is based on the relevant fields of the associated standardized network resource management file, including:

[0062] Co-RRU analysis, co-site analysis, cell co-coverage analysis, special scenario judgment, abnormal operating parameter correction, resource redundancy judgment, and statistics of cells with abnormal resources.

[0063] In specific application scenarios, shared RRU analysis is mainly used for 4G / 4G and 4G / 5G shared RRU analysis, and can also be used for shared RRU analysis in 3G / 4G and 3G / 5G networks. Details are as follows:

[0064] Functional objective: Determine whether a cell shares a common RRU.

[0065] Implementation mechanism: First, determine the RRU to which the cell belongs (the ECGI field in the cell's EUTRANCELL TDD file matches the RRU).

[0066] If two cells belong to the same RRU (the SerialNumber field in the INVENTORYUNITRRU file is consistent), then the two cells share the same RRU.

[0067] Co-location analysis, including:

[0068] Obtain the BBU latitude and longitude from the standardized network resource management file;

[0069] Based on the latitude and longitude, determine whether the difference in latitude and longitude between different base stations is within the set parameters.

[0070] In a specific application scenario, it is used for 4G / 5G co-site analysis.

[0071] Functional objective: Determine if the physical addresses of the base stations are the same, and output a co-location table.

[0072] Implementation mechanism: The BBU latitude and longitude are used for judgment. If the latitude and longitude of two base stations differ by less than 50 meters, they are considered to have the same physical site. The BBU latitude and longitude are determined using the Latitude and Longitude fields in the northbound ENBFUNCTION file. In this embodiment, the parameter is set to 50 meters.

[0073] Cellular coverage analysis includes:

[0074] Determine whether different cells share an antenna based on the associated standardized network resource management file;

[0075] If they do not share an antenna, obtain the latitude, longitude, and azimuth information of the cell from the standardized network resource management file;

[0076] Based on the latitude, longitude, and azimuth information, determine whether it is the same coverage cell;

[0077] In specific application scenarios, the goal of the cell co-coverage analysis function is to determine whether cells have the same coverage direction and output a table of co-coverage cells.

[0078] Implementation mechanism: First, determine whether the two cells share an antenna (the two cells are in the AntEutranCellList field of the AntEutranCellList file). If they share an antenna, they are in the same direction. If they do not share an antenna, use latitude and longitude + azimuth to determine. If the latitude and longitude deviation is within 50 meters and the azimuth deviation is ±30 degrees, they are determined to be cells with the same coverage.

[0079] In the special scenario judgment, special scenarios include: RRU split scenario, RRU double-segment cell, RRU SFN cell or multi-carrier cell;

[0080] Based on the established logical relationships, determine the cells for special scenarios and assign special scenario identifiers to the corresponding cells:

[0081] 1) RRU splitting scenario judgment: same RRU, different sectors, different cells;

[0082] 2) RRU dual-segment cell identification: different RRUs, same sector, same cell;

[0083] 3) RRU SFN cell determination: different RRUs, different sectors, same cell;

[0084] 4) Multi-carrier cell determination: same RRU, same sector, different cells.

[0085] Abnormal parameter correction includes checking and correcting important fields in asset management data through standardized network resource management documents, and reserving an entry point for updating abnormal parameters in the standardized network resource management documents;

[0086] The NRM file is used to verify and correct important fields in the asset management data, such as latitude and longitude, bandwidth, frequency, and PCI; an entry point for updating abnormal working parameters in local areas is reserved.

[0087] Resource redundancy assessment includes baseband board remaining capacity, RRU remaining power, and RRU available bandwidth;

[0088] The remaining capacity of the baseband board is calculated by summing up all the cells connected to the baseband board and subtracting the maximum number of cells that the baseband board can support from the number of cells that have already been connected to the baseband board.

[0089] The remaining power of the RRU is obtained based on the RRU's capabilities and the cells currently connected to the RRU.

[0090] The available bandwidth of the RRU is obtained by summing the bandwidth supported by the RRU and the bandwidth of the cells currently connected to the RRU.

[0091] In specific application scenarios, baseband board redundancy is calculated based on the capabilities of different types of baseband boards and the current downstream cell configuration. The downstream cell capability of a baseband board is mainly related to the number of cell transmission channels (as stated in the northbound EUTRANCELLTDD file).<N i="39"> (TxRxMode field).

[0092] Example: The baseband board model is UBBPg2d, and its capabilities and the number of cells it supports are shown in Table 1.

[0093] When the cell transmission channel is 4T / 2T / 1T, a maximum of 12 cells are supported. When the cell transmission channel is 8T / 32T / 64T, a maximum of 6 cells are supported.

[0094] Table 1. Cell Support Capacity of UBBPg2d Baseband Board

[0095]

[0096] When calculating the remaining capacity, the cells connected to the baseband board are summarized, and the baseband board redundancy capacity is obtained by subtracting the maximum number of cells that the baseband board can support from the number of cells that have already been connected to the baseband board.

[0097] The remaining power of the RRU is calculated based on the capabilities of different types of RRUs and the cells currently connected to the RRU. RRU power is mainly related to cell bandwidth, CRS power settings, PA, and the number of RRU channels.

[0098] For example, as shown in Table 2, the maximum supported power of RRU3168e-fa(DC) is 176W. The remaining power of RRU can be calculated by summing the power of all cells under this RRU and then by the difference between the maximum supported power of RRU and the sum of the power of all cells under RRU.

[0099] Table 2. Calculation of Remaining Power of RRU3168e-fa (DC) RRU Baseband Board

[0100]

[0101] CRS power value retrieval path: Northbound EUTRANCELLTDD file<Ni="143"> ReferenceSignalPower

[0102] PA value retrieval path: Northbound EUTRANCELLTDD file<N i="236"> Pa

[0103] Bandwidth value retrieval path: Northbound EUTRANCELLTDD file<N i="72"> BandWidth

[0104] The available bandwidth of an RRU is calculated based on the bandwidth capacity supported by different types of RRUs and the sum of the bandwidth of the cells currently connected to the RRU.

[0105] For example, as shown in Table 3, RRU3168e-fa(DC) supports 30M bandwidth in the F band. If the total bandwidth of the cell in the F band under this RRU is 15M, then the remaining capacity of the F band of this RRU is 15M.

[0106] Table 3. Calculation of Remaining Bandwidth of RRU on RRU3168e-fa(DC) Baseband Board

[0107]

[0108] In the statistics of abnormal resource cells, GIS statistics are presented for abnormal resource cells. The types of abnormal resources are as follows: sites with no cells established on the baseband board, sites with no cells established on the RRU, or sites with redundant baseband boards.

[0109] This embodiment efficiently completes data collection and parsing through associated standardized network resource management files, such as the northbound NRM configuration file, reducing the skill level requirements for personnel and improving overall efficiency and accuracy. Based on wireless resource relationships and information collection, it enables base station resource statistics, physical correlation analysis, and logical correlation analysis, effectively guiding existing network optimization work and improving the efficiency of wireless network optimization.

[0110] Figure 2 A flowchart of a network wireless resource analysis method provided by another embodiment of the present invention is shown. Figure 2 As shown, the method includes the following steps:

[0111] Step S101: Associate the relevant fields of the standardized network resource management file with the relevant fields of the network resource to obtain the associated standardized network resource management file;

[0112] By associating relevant fields in standardized network resource management documents with relevant fields in network resources, a relationship is formed, which facilitates subsequent statistical analysis of network resources.

[0113] Standardized network resource management documents are standard documents used uniformly by various equipment vendors and network providers in the network, such as the northbound NRM configuration file.

[0114] In specific application scenarios, the network resources include at least two of the following: antenna, RRU, sector, site, cell, and board.

[0115] The board includes a baseband board and / or a main control board.

[0116] Associate relevant fields from standardized network resource management documents with relevant fields from network resources, including:

[0117] Associating sites with boards, associating boards with sectors, associating sectors with RRUs, associating RRUs with cells, associating cells with antennas, and / or associating cells with base stations.

[0118] In specific application scenarios, the associations are as follows:

[0119] 1. Site and board association: The ManagedElement field in the base station ENBFUNCTION file is associated with the ManagedElement field in the board INVENTORYUNITPACK file DN, as shown in Table 4.

[0120] Table 4. Site-to-board Association Table

[0121]

[0122] As shown in Table 5, the required attribute fields in the base station ENBFUNCTION file are identified by eNodeBFunctionName.

[0123] Table 5. Base Station ENBFUNCTION File Table

[0124]

[0125]

[0126] As shown in Table 6, the key fields required in the board INVENTORYUNITPACK file use Id as the identifier for the board resources at this site.

[0127] How to read the board model:

[0128] Board type: Read<N i="13"> The VendorUnitFamilyType field contains the board type information in {MainControl, Carrier, Trans, Other}, representing the main control board, carrier board, transmission board, and other board types, respectively.

[0129] Board model: Read<N i="9"> The VendorUnitTypeNumber field is used to retrieve the model number and output it.

[0130] Table 6. Board INVENTORYUNITPACK File Table

[0131]

[0132] 2. Board and sector association: The ManagedElement+id field in the board's INVENTORYUNITPACK file is associated with the managedElement+BaseBandEqmId field in the sector file CELLCOMPONENT, as shown in Table 7.

[0133] Table 7. Board and Sector Association Table

[0134]

[0135] If BaseBandEqmId is 255, it means that the sector is not bound to a baseband board and is randomly assigned. The handling principle is as follows: first, determine the number of baseband boards in the site. If there is only one baseband board, it is assumed to be the only baseband board for the base station. If the number of baseband boards is greater than or equal to 2, output "unspecified data".

[0136] As shown in Table 8, the key fields required for the sector CELLCOMPONENT file are identified by the UserLabel station sector resource.

[0137] Table 8. Sector Cell Component File Table

[0138]

[0139] 3. Sector and RRU Association: The RRUlist field in the sector file CELLCOMPONENT is associated with the RRU file, as shown in Table 9.

[0140] The id field in INVENTORYUNITRRU is used for association.

[0141] Table 9. Sector-RRU Association Table

[0142]

[0143] As shown in Table 10, the key fields required for the RRU INVENTORYUNITRRU file are the UserLabel, which identifies the RRU resource of the site.

[0144] RRU model reading method: Read from the INVENTORYUNITRRU file.<Ni="4"> ManufacturerData field: Retrieves and outputs the following flag fields: RRU model, supported frequency bands, and number of transceiver channels.

[0145] <Vi=“4”> Function Module\ TD-TECH RRU3168e-fa(DC)\,WD5MOSRZ2XGB\,MARPTDD MRRU V3-Multi-mode Multi-carriers Remote Radio Unit\ 1885-1915MHz / 2010- 2025MHz -48VDC, 10G 8T8R \

[0146] The TD-TECH RRU3168e-fa(DC) is the RRU model, 1885-1915MHZ / 2010-2025MHZ are the supported frequency bands, and 8T8R is the number of transmit and receive channels.

[0147] Table 10. RRU INVENTORYUNITRRU File Table

[0148]

[0149] 4. RRU and Cell Association: The ECGI field in the cell EUTRANCELLTDD file is associated with the RRU, and the RelatedCellList field in the INVENTORYUNITRRU file is associated with the RRU, as shown in Table 11.

[0150] Table 11. RRU and Cell Association Table

[0151]

[0152]

[0153] The key fields required in the EUTRANCELLTDD file for a cell use ECGI as the identifier for the cell resources at the site.

[0154] EUTRANCELLTDD has many key attributes, which are presented as needed, such as frequency, PCI, bandwidth, power, standard, subcarrier spacing, and other parameters.

[0155] 5. Cell and Antenna Association: The ECGI field in the cell EUTRANCELLTDD file is associated with the AntEutranCellList field in the ANTENNAFUNCTION file, as shown in Table 12.

[0156] Table 12. Cell and Antenna Association Table

[0157]

[0158] As shown in Table 13, the key fields required for the antenna ANTENNAFUNCTION file use id as the identifier for the site antenna resource.

[0159] Table 13. Antenna Function Document Table

[0160]

[0161]

[0162]

[0163] 6. Cell and base station association: The ECGI field in the cell EUTRANCELLTDD file is associated with the Enbid field in the ENBFUNCTION file, as shown in Table 14.

[0164] Table 14. Cell and Base Station Association Table

[0165]

[0166] Step S102: Obtain the associated standardized network resource management file, wherein the associated standardized network resource management file is obtained by associating the relevant fields of the standardized network resource management file with the relevant fields of the network resource;

[0167] Standardized network resource management documents are standard documents used uniformly by various equipment vendors and network providers in the network, such as the northbound NRM configuration file.

[0168] The northbound interface is the interface used by manufacturers or operators to access and manage the network; it's the interface provided upwards. Various application systems are developed using this interface to manage managed objects. The management method involves collecting and analyzing various data generated by the managed objects during operation. In telecommunications networks and NGN networks (Next Generation Convergence Networks), management is implemented in layers, which can be divided into three layers: the application layer, the data processing layer, and the data management layer. The data interaction between the application layer and the data processing layer is defined by an interface. Since the application layer is located above the data processing layer, this interface is called the northbound interface.

[0169] NRM configuration files are network resource management files. In this specific implementation scenario, the northbound NRM configuration file is used, but in network communication, files with the same properties as the northbound NRM configuration file are called standardized network resource management files.

[0170] Step S103: Analyze the wireless resource data based on the relevant fields of the associated standardized network resource management file.

[0171] After associating the relevant fields of the standardized network resource management document with the relevant fields of the network resource, the main function of the base station resource summary query is to achieve resource summary display at the base station level, and the corresponding query data can be exported.

[0172] Data aggregation at the base station level is performed through resource association, and the aggregation is carried out using DN information in the northbound NRM data, resulting in the aggregation results shown in Table 15.

[0173] Table 15. Data table aggregated using DN information from northbound NRM data.

[0174] … … … … … … … …

[0175] This embodiment associates relevant fields in a standardized network resource management file with relevant fields in network resources. Based on this association file, a comprehensive wireless resource visualization system can be built, constructing relationships between antennas, RRUs, sectors, cells, baseband boards, and main control boards. This efficiently completes network resource statistics and wireless resource association, achieving hardware and software resource integration and creating a simplified network. It can efficiently complete data collection and analysis, reducing the skill requirements for personnel and improving the overall efficiency and accuracy of the system.

[0176] Figure 3 A schematic diagram of the network wireless resource analysis device provided in an embodiment of the present invention is shown.

[0177] like Figure 3 As shown, the device includes:

[0178] The acquisition module 302 is used to acquire the associated standardized network resource management file, wherein the associated standardized network resource management file is obtained by associating the relevant fields of the standardized network resource management file with the relevant fields of the network resource;

[0179] Analysis module 303 is used to analyze wireless resource data based on the relevant fields of the associated standardized network resource management file.

[0180] Optionally, it also includes an association module 301, which is used to associate relevant fields of the standardized network resource management file with relevant fields of the network resource to obtain the associated standardized network resource management file.

[0181] Optionally, network resources include at least two of the following: antenna, RRU, sector, site, cell, and board.

[0182] The board includes a baseband board and / or a main control board.

[0183] Optionally, relevant fields from standardized network resource management documents can be associated with relevant fields from network resources, including:

[0184] Associating sites with boards, associating boards with sectors, associating sectors with RRUs, associating RRUs with cells, associating cells with antennas, and / or associating cells with base stations.

[0185] Optionally, the wireless resource data is analyzed based on the relevant fields of the associated standardized network resource management file, including:

[0186] Co-RRU analysis, co-site analysis, cell co-coverage analysis, special scenario judgment, abnormal operating parameter correction, resource redundancy judgment, and statistics of cells with abnormal resources.

[0187] Optionally, the co-location analysis includes:

[0188] Obtain the BBU latitude and longitude from the standardized network resource management file;

[0189] Based on the latitude and longitude, determine whether the difference in latitude and longitude between different base stations is within the set parameters.

[0190] Optionally, the cell co-coverage analysis includes:

[0191] Determine whether different cells share an antenna based on the associated standardized network resource management file;

[0192] If they do not share an antenna, obtain the latitude, longitude, and azimuth information of the cell from the standardized network resource management file;

[0193] Based on the latitude, longitude, and azimuth information, determine whether it is the same coverage cell;

[0194] and / or

[0195] The special scenarios mentioned in the special scenario judgment include: RRU splitting scenario, RRU dual-segmentation cell, RRU SFN cell or multi-carrier cell;

[0196] and / or

[0197] The abnormal parameter correction includes checking and correcting important fields in the asset management data through a standardized network resource management file, wherein the standardized network resource management file reserves an entry point for updating abnormal parameters;

[0198] and / or

[0199] The resource redundancy determination includes the baseband board's remaining capacity, the RRU's remaining power, and the RRU's available bandwidth;

[0200] The remaining capacity of the baseband board is calculated by summing up all the cells connected to the baseband board and subtracting the maximum number of cells that the baseband board can support from the number of cells that have already been connected to the baseband board.

[0201] The remaining power of the RRU is obtained based on the RRU's capabilities and the cells currently connected to the RRU.

[0202] The available bandwidth of the RRU is obtained by summing the bandwidth supported by the RRU and the bandwidth of the cells currently connected to the RRU.

[0203] and / or

[0204] The types of resource anomalies in the statistics of resource-abnormal cells include:

[0205] Sites where the baseband board has no cell established, sites where the RRU has no cell established, or sites where the baseband board has redundancy.

[0206] This invention provides a non-volatile computer storage medium storing at least one executable instruction that can execute the network wireless resource analysis method in any of the above method embodiments.

[0207] Figure 4 The diagram shows a structural schematic of a computing device provided in an embodiment of the present invention. The specific embodiments of the present invention do not limit the specific implementation of the computing device.

[0208] like Figure 4 As shown, the computing device may include a processor, a communications interface, memory, and a communications bus.

[0209] The processor, communication interface, and memory communicate with each other via a communication bus. The communication interface is used to communicate with other network elements, such as clients or other servers. The processor executes programs, specifically the relevant steps described in the embodiment of the network wireless resource analysis method for computing devices.

[0210] Specifically, the program may include program code, which includes computer operation instructions.

[0211] The processor may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The computing device includes one or more processors, which may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0212] Memory is used to store programs. Memory may include high-speed RAM, and may also include non-volatile memory, such as at least one disk drive.

[0213] Specifically, the program can be used to cause the processor to execute the network radio resource analysis method in any of the above method embodiments. The specific implementation of each step in the program can be found in the corresponding descriptions of the steps and units in the above network radio resource analysis embodiments, and will not be repeated here. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the devices and modules described above can be referred to the corresponding process descriptions in the foregoing method embodiments, and will not be repeated here.

[0214] The algorithms or displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, the embodiments of the present invention are not directed to any particular programming language. It should be understood that the embodiments of the present invention described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing the best mode of implementation of the embodiments of the present invention.

[0215] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0216] Similarly, it should be understood that, in order to streamline the embodiments of the invention and aid in understanding one or more of the various inventive aspects, features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof in the above description of exemplary embodiments of the invention. However, this disclosure should not be construed as reflecting an intention that the claimed embodiments of the invention require more features than are expressly recited in each claim. Rather, as reflected in the following claims, inventive aspects lie in fewer than all features of a single foregoing disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into that detailed description, wherein each claim itself is a separate embodiment of the invention.

[0217] Those skilled in the art will understand that modules in the device of the embodiments can be adaptively changed and placed in one or more devices different from that embodiment. Modules, units, or components in the embodiments can be combined into a single module, unit, or component, and further, they can be divided into multiple sub-modules, sub-units, or sub-components. Except where at least some of such features and / or processes or units are mutually exclusive, any combination can be used to combine all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or device so disclosed. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0218] Furthermore, those skilled in the art will understand that although some embodiments herein include certain features included in other embodiments but not others, combinations of features from different embodiments are intended to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.

[0219] The various component embodiments of the present invention can be implemented in hardware, or as software modules running on one or more processors, or a combination thereof. Those skilled in the art will understand that microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all of the functions of some or all of the components according to the embodiments of the present invention. The embodiments of the present invention can also be implemented as device or apparatus programs (e.g., computer programs and computer program products) for performing part or all of the methods described herein. Such programs implementing the embodiments of the present invention can be stored on a computer-readable medium, or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.

[0220] It should be noted that the above embodiments are illustrative of the present invention and not restrictive of the invention, and that those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. Embodiments of the present invention can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names. The steps in the above embodiments, unless otherwise specified, should not be construed as limiting the order of execution.

Claims

1. A method for analyzing network wireless resources, characterized in that, include: Obtain the associated standardized network resource management file, which is obtained by associating relevant fields of the standardized network resource management file with relevant fields of the network resources; the network resources include antennas, RRUs, sectors, sites, cells, and boards; the boards include baseband boards and / or main control boards; wherein, the sites are associated with boards, boards are associated with sectors, sectors are associated with RRUs, RRUs are associated with cells, cells are associated with antennas, and cells are associated with base stations; The analysis of wireless resource data is based on the relevant fields of the associated standardized network resource management file, including: co-RRU analysis, co-site analysis, cell co-coverage analysis, special scenario judgment, abnormal operating parameter correction, resource redundancy judgment, and statistics of abnormal resource cells. The cell co-coverage analysis includes: determining whether different cells share an antenna based on the associated standardized network resource management file; if they do not share an antenna, obtaining the latitude, longitude, and azimuth information of the cells in the standardized network resource management file; and determining whether they are co-coverage cells based on the latitude, longitude, and azimuth information. The abnormal parameter correction includes: checking and correcting important fields in the asset management data through a standardized network resource management file, wherein the standardized network resource management file reserves an entry point for updating abnormal parameters; The resource redundancy determination includes: baseband board remaining capacity, RRU remaining power, and RRU available bandwidth; the baseband board remaining capacity is calculated by summing the cells supported by the baseband board and subtracting the maximum number of cells supported by the baseband board from the number of cells already connected to the baseband board; the RRU remaining power is obtained based on the RRU capacity and the currently connected RRU cells; the RRU available bandwidth is obtained based on the sum of the RRU supported bandwidth capacity and the bandwidth of the currently connected RRU cells. The types of resource anomalies in the statistics of abnormal resource cells include: sites where no cell has been established on the baseband board, sites where no cell has been established on the RRU, or sites where the baseband board has redundancy. The special scenario judgment includes: RRU splitting scenario, RRU dual-segment cell, RRU SFN cell, or multi-carrier cell. The special scenario cell judgment is performed based on the established logical relationship, and the corresponding cell is marked with a special scenario identifier. Specifically, the RRU splitting scenario judgment is: same RRU, different sector, different cell; the RRU dual-segment cell judgment is: different RRU, same sector, same cell; the RRU SFN cell judgment is: different RRU, different sector, same cell; and the multi-carrier cell judgment is: same RRU, same sector, different cell.

2. The network wireless resource analysis method according to claim 1, characterized in that, The co-location analysis includes: Obtain the BBU latitude and longitude from the standardized network resource management file; Based on the latitude and longitude, determine whether the difference in latitude and longitude between different base stations is within the set parameters.

3. A network wireless resource analysis device, characterized in that, include: The acquisition module is used to acquire associated standardized network resource management files. These files are obtained by associating relevant fields of the standardized network resource management files with relevant fields of the network resources. The network resources include antennas, RRUs, sectors, sites, cells, and boards. The boards include baseband boards and / or main control boards. The modules associate sites with boards, boards with sectors, sectors with RRUs, RRUs with cells, cells with antennas, and cells with base stations. The analysis module is used to analyze wireless resource data based on the relevant fields of the associated standardized network resource management file, including: co-RRU analysis, co-site analysis, cell co-coverage analysis, special scenario judgment, abnormal operating parameter correction, resource redundancy judgment, and statistics of abnormal resource cells; The cell co-coverage analysis includes: determining whether different cells share an antenna based on the associated standardized network resource management file; if they do not share an antenna, obtaining the latitude, longitude, and azimuth information of the cells in the standardized network resource management file; and determining whether they are co-coverage cells based on the latitude, longitude, and azimuth information. The abnormal parameter correction includes: checking and correcting important fields in the asset management data through a standardized network resource management file, wherein the standardized network resource management file reserves an entry point for updating abnormal parameters; The resource redundancy determination includes: baseband board remaining capacity, RRU remaining power, and RRU available bandwidth; the baseband board remaining capacity is calculated by summing the cells supported by the baseband board and subtracting the maximum number of cells supported by the baseband board from the number of cells already connected to the baseband board; the RRU remaining power is obtained based on the RRU capacity and the currently connected RRU cells; the RRU available bandwidth is obtained based on the sum of the RRU supported bandwidth capacity and the bandwidth of the currently connected RRU cells. The types of resource anomalies in the statistics of abnormal resource cells include: sites where no cell has been established on the baseband board, sites where no cell has been established on the RRU, or sites where the baseband board has redundancy. The special scenario judgment includes: RRU splitting scenario, RRU dual-segment cell, RRU SFN cell, or multi-carrier cell. The special scenario cell judgment is performed based on the established logical relationship, and the corresponding cell is marked with a special scenario identifier. Specifically, the RRU splitting scenario judgment is: same RRU, different sector, different cell; the RRU dual-segment cell judgment is: different RRU, same sector, same cell; the RRU SFN cell judgment is: different RRU, different sector, same cell; and the multi-carrier cell judgment is: same RRU, same sector, different cell.

4. A computing device, comprising: The processor, memory, communication interface, and communication bus are provided, wherein the processor, memory, and communication interface communicate with each other via the communication bus. The memory is used to store at least one executable instruction, which causes the processor to perform the operation corresponding to the network wireless resource analysis method as described in any one of claims 1-2.

5. A computer storage medium storing at least one executable instruction that causes a processor to perform an operation corresponding to the network wireless resource analysis method as described in any one of claims 1-2.

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