Method and device for performing quantity evaluation processing on multi-operator 5G base stations through frequency sweeping device, processor and medium thereof

Abstract

The invention relates to a method for carrying out quantity evaluation processing on multi-operator 5G base stations through a frequency sweeping device. The method comprises the following steps: collecting and storing parameters reported by the frequency sweeping device along the way; analyzing the sampling data stored by the frequency sweeping device, and performing grouping management; extracting a list carrying decoding system messages in all sampling data; updating the strongest area covered by the 5G base station signal; sequentially calculating the distance from the identified 5G base station to the strongest signal coverage area; the 5G base stations in all the EARFCN + PCI groups are calculated; and counting the number of 5G base stations of each operator. The invention further relates to a device for performing quantity evaluation processing on the multi-operator 5G base stations through the frequency sweeping device, a processor and a readable storage medium. By adopting the method, the device, the processor and the computer readable storage medium for evaluating the number of the multi-operator 5G base stations through the frequency sweeping device, the 5G base stations are demodulated, the decoding of the system message SIB1 of the base stations is supported, and the decoding success rate of the SIB1 needs to be higher than 50%. And a built-in navigation module can adopt a GPS (Global Positioning System) or a Beidou module.

Description

Technical Field

[0001] The present invention relates to the field of mobile communication technology, and in particular to the field of operator base station quantity assessment, and specifically refers to a method, device, processor and computer-readable storage medium thereof for performing quantity assessment processing on multiple operator 5G base stations through a frequency scanning device. Background Art

[0002] 5G is a new generation of mobile communication technology, which has faster speed, lower latency and more connections than 4G.

[0003] The popularization of 5G technology has a wide-ranging impact on society and the economy, promoting the development of information technology and creating opportunities for new application scenarios. For example, 5G technology can support the development of emerging technologies such as virtual reality and augmented reality, providing users with a richer experience. In addition, 5G technology can also support applications in areas such as autonomous driving, industrial automation, medical care, and education and training.

[0004] 5G base stations are the infrastructure of 5G networks. They are mainly responsible for sending and receiving 5G signals, and performing signal conversion and routing. 5G system messages are downlink broadcast information periodically sent by 5G base stations. System messages are critical information for the connection between mobile terminals and base stations. System messages can provide terminals with all the necessary information required to access the network, such as system frame number, system bandwidth, PLMN, cell selection and reselection threshold, etc. The combination of PLMN, TAC, and CellIdentity information in the system message SIB1 can be used as the unique identification code of the base station.

[0005] China has become the country with the largest number of 5G base stations in the world and is in a leading position in 5G network construction. As the number of 5G base stations continues to increase, China's 5G network will be more complete, providing users with faster and more stable network services. Similarly, for operators, the more 5G base stations an operator has, the larger the operator's 5G network coverage area and the higher the operator's service quality. However, the operator's base station information is usually kept confidential internally because the specific data of the network infrastructure may involve national security or commercial secrets. Therefore, a method for evaluating the number of operator base stations is needed to evaluate the network service quality of different operators. Summary of the invention

[0006] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and to provide a method, device, processor and computer-readable storage medium thereof, which are easy to operate, have high stability and a wide range of applications, and can realize quantitative evaluation and processing of 5G base stations of multiple operators through a frequency scanning device.

[0007] In order to achieve the above-mentioned purpose, the method, device, processor and computer-readable storage medium thereof for implementing quantity evaluation processing for multiple operators' 5G base stations through a frequency scanning device of the present invention are as follows:

[0008] The method for implementing quantity evaluation processing for 5G base stations of multiple operators through a frequency scanning device is mainly characterized in that the method comprises the following steps:

[0009] (1) Use a frequency sweeping device to conduct vehicle-mounted road testing at the entire prefecture-level city level along the planned route, and collect and store the parameters reported by the frequency sweeping device along the way;

[0010] (2) parsing the sampled data stored in the frequency scanning device, and grouping and managing the sampled data according to the carrier frequency number EARFCN and the physical cell identifier PCI of the 5G base station;

[0011] (3) Group any carrier frequency number EARFCN and physical cell identifier PCI, and extract the list of 5G base stations carrying the decoded system message SIB1 in all sampled data;

[0012] (4) Analyze the 5G base stations carrying the system message SIB1 one by one to cover the geographical location where the maximum DMRS-RP value in the sampling point is located, and update it to the strongest area covered by the 5G base station signal;

[0013] (5) For the sampled data that does not carry the system message SIB1 decoding information, calculate the distance to the area with the strongest signal coverage of the identified 5G base station in turn, and determine whether it is within the coverage range of the identified 5G base station or is treated as a new 5G base station according to the threshold of the base station coverage distance;

[0014] (6) Determine whether there are other 5G base station carrier frequency point number EARFCN and physical cell identifier PCI groups to be analyzed. If so, continue with steps (3) to (5) to calculate all 5G base stations in the carrier frequency point number EARFCN and physical cell identifier PCI group; otherwise, continue with step (7);

[0015] (7) Based on the EARFCN associated with the operator, the number of 5G base stations of each operator is counted.

[0016] Preferably, the parameters reported by the scanning device stored in the step (1) include at least the timestamp, the longitude and latitude of the current geographic location, the EARFCN, PCI, DMRS-RP, DMRS-CINR of the 5G base station, and the PLMN, TAC, and CellIdentity information in the system message SIB1.

[0017] Preferably, the step (5) specifically comprises the following steps:

[0018] (5.1) For the sampled data that does not carry the system message SIB1 decoding information, calculate the distance to the area with the strongest signal coverage of the identified 5G base station in turn;

[0019] (5.2) According to the threshold of the base station coverage distance under different terrain environments, determine whether it is within the coverage range of the identified 5G base station. If it is not within the coverage range of the identified 5G base station, continue with step (5.3); if it is within the coverage range of the identified 5G base station, no processing is performed;

[0020] (5.3) For sampling points that are not within the coverage of any identified 5G base station, they will be treated as new 5G base stations that do not carry system message SIB1, and their DMRS-RP maximum value and geographical location will be continuously updated.

[0021] The main feature of the device for implementing quantity evaluation processing for 5G base stations of multiple operators through a frequency scanning device is that the device comprises:

[0022] a processor configured to execute computer executable instructions;

[0023] A memory stores one or more computer executable instructions. When the computer executable instructions are executed by the processor, the various steps of the method for performing quantity evaluation processing on multiple operators' 5G base stations through a scanning device are implemented.

[0024] The processor for implementing quantity assessment processing for 5G base stations of multiple operators through a frequency scanning device has the main feature that the processor is configured to execute computer-executable instructions. When the computer-executable instructions are executed by the processor, the various steps of the above-mentioned method for implementing quantity assessment processing for 5G base stations of multiple operators through a frequency scanning device are implemented.

[0025] The main feature of this computer-readable storage medium is that a computer program is stored thereon, and the computer program can be executed by a processor to implement the various steps of the above-mentioned method for performing quantity evaluation processing on multiple operator 5G base stations through a scanning device.

[0026] The method, device, processor and computer-readable storage medium for implementing quantity evaluation processing for 5G base stations of multiple operators through a frequency scanning device of the present invention can demodulate 5G base stations, support decoding of the system message SIB1 of the base station, and the decoding success rate of SIB1 must be higher than 50%, and the reporting rate of sampling data must be greater than 2 sampling points / second. The built-in navigation module can use GPS or Beidou module, which has a wide range of applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1The present invention is a flowchart of a method for implementing quantity evaluation processing for 5G base stations of multiple operators through a frequency scanning device.

[0028] Figure 2 A schematic diagram of base station coverage sections grouped by carrier frequency number EARFCN and physical cell identifier PCI in an embodiment of the method for implementing quantity evaluation processing for multi-operator 5G base stations through a frequency scanning device of the present invention. DETAILED DESCRIPTION

[0029] In order to more clearly describe the technical content of the present invention, further description is given below in conjunction with specific embodiments.

[0030] The method of the present invention for implementing quantity evaluation processing for 5G base stations of multiple operators through a frequency scanning device includes the following steps:

[0031] (1) Use a frequency sweeping device to conduct vehicle-mounted road testing at the entire prefecture-level city level along the planned route, and collect and store the parameters reported by the frequency sweeping device along the way;

[0032] (2) parsing the sampled data stored in the frequency scanning device, and grouping and managing the sampled data according to the carrier frequency number EARFCN and the physical cell identifier PCI of the 5G base station;

[0033] (3) Group any carrier frequency number EARFCN and physical cell identifier PCI, and extract the list of 5G base stations carrying the decoded system message SIB1 in all sampled data;

[0034] (4) Analyze the 5G base stations carrying the system message SIB1 one by one to cover the geographical location where the maximum DMRS-RP value in the sampling point is located, and update it to the strongest area covered by the 5G base station signal;

[0035] (5) For the sampled data that does not carry the system message SIB1 decoding information, calculate the distance to the area with the strongest signal coverage of the identified 5G base station in turn, and determine whether it is within the coverage range of the identified 5G base station or is treated as a new 5G base station according to the threshold of the base station coverage distance;

[0036] (6) Determine whether there are other 5G base station carrier frequency point number EARFCN and physical cell identifier PCI groups to be analyzed. If so, continue with steps (3) to (5) to calculate all 5G base stations in the carrier frequency point number EARFCN and physical cell identifier PCI group; otherwise, continue with step (7);

[0037] (7) Based on the EARFCN associated with the operator, the number of 5G base stations of each operator is counted.

[0038] As a preferred embodiment of the present invention, the parameters reported by the scanning device stored in the step (1) include at least the timestamp, the longitude and latitude of the current geographic location, the EARFCN, PCI, DMRS-RP, DMRS-CINR of the 5G base station, and the PLMN, TAC, and CellIdentity information in the system message SIB1.

[0039] As a preferred embodiment of the present invention, the step (5) specifically comprises the following steps:

[0040] (5.1) For the sampled data that does not carry the system message SIB1 decoding information, calculate the distance to the area with the strongest signal coverage of the identified 5G base station in turn;

[0041] (5.2) According to the threshold of the base station coverage distance under different terrain environments, determine whether it is within the coverage range of the identified 5G base station. If it is not within the coverage range of the identified 5G base station, continue with step (5.3); if it is within the coverage range of the identified 5G base station, no processing is performed;

[0042] (5.3) For sampling points that are not within the coverage of any identified 5G base station, they will be treated as new 5G base stations that do not carry system message SIB1, and their DMRS-RP maximum value and geographical location will be continuously updated.

[0043] The device of the present invention is used to implement quantity evaluation processing for multiple operators' 5G base stations through a frequency scanning device, wherein the device comprises:

[0044] a processor configured to execute computer executable instructions;

[0045] A memory stores one or more computer executable instructions. When the computer executable instructions are executed by the processor, the various steps of the method for performing quantity evaluation processing on multiple operators' 5G base stations through a scanning device are implemented.

[0046] The present invention provides a processor for implementing quantity assessment processing for 5G base stations of multiple operators through a frequency scanning device, wherein the processor is configured to execute computer-executable instructions, and when the computer-executable instructions are executed by the processor, the various steps of the above-mentioned method for implementing quantity assessment processing for 5G base stations of multiple operators through a frequency scanning device are implemented.

[0047] The computer-readable storage medium of the present invention stores a computer program thereon, and the computer program can be executed by a processor to implement the various steps of the above-mentioned method for performing quantity evaluation processing on multi-operator 5G base stations through a scanning frequency device.

[0048] In a specific implementation of the present invention, a method for evaluating the number of 5G base stations of multiple operators using a frequency scanning device is provided, and the method comprises the following steps:

[0049] (1) Use the scanning device to conduct vehicle-mounted road testing at the entire prefecture-level city level according to the planned route, and collect and store the parameters reported by the scanning device along the way. The stored parameters reported by the scanning device must at least include: the timestamp, longitude, and latitude of the sampling point, and the EARFCN, PCI, DMRS-RP, and DMRS-CINR of all 5G base stations covering the current sampling location; for the 5G base station that successfully decodes the system message SIB1, the PLMN, TAC, and CellIdentity of the 5G base station need to be stored;

[0050] EARFCN is the carrier frequency number; PCI is the physical cell identifier. In the field of wireless communications, EARFCN and PCI are usually used together to describe a base station;

[0051] (2) parsing the sampled data stored in the frequency scanning device, and grouping and managing the sampled data according to the carrier frequency number EARFCN and the physical cell identifier PCI of the 5G base station;

[0052] (3) Group any carrier frequency number EARFCN and physical cell identifier PCI, extract the list of 5G base stations carrying the decoded system message SIB1 in all sampled data, and identify the base station with TAC+CellIdentity;

[0053] (4) Analyze the 5G base stations carrying the system message SIB1 one by one to cover the geographical location where the maximum DMRS-RP value in the sampling point is located, and update it to the strongest area covered by the 5G base station signal;

[0054] (5) For the sampled data that does not carry the system message SIB1 decoding information, the distance to the area with the strongest signal coverage of the identified 5G base station is calculated in turn, and whether it is within the coverage range of the identified 5G base station is determined according to the threshold of the base station coverage distance under different terrain environments (for example: urban area ≤3km, suburban area ≤5km, rural area ≤8km, etc.); for the sampling point that is not within the coverage range of any identified 5G base station, it will be regarded as a new 5G base station that does not carry the system message SIB1, and its DMRS-RP maximum value and geographical location will be continuously updated; this step is mainly used to filter out the sampled data that does not carry the system message SIB1 decoding information that is beyond the coverage range of the identified 5G base station;

[0055] (6) Repeat steps (3) to (5) to calculate all 5G base stations in the carrier frequency number EARFCN and physical cell identifier PCI group;

[0056] (7) Based on the EARFCN associated with the operator, the number of 5G base stations of each operator is counted.

[0057] In a specific embodiment of the present invention, the method for evaluating the number of 5G base stations of multiple operators using a frequency scanning device includes the following steps:

[0058] (1) A scanning device was used to conduct vehicle-mounted road tests in the main urban area of ​​Dongguan for 7 consecutive days along the planned route, and the parameters reported by the scanning device were stored in a file in a fixed format;

[0059] (2) parsing the files stored in the frequency scanning device to extract the frequency scanning data, and grouping and managing the sampled data according to the carrier frequency number EARFCN and the physical cell identifier PCI of the 5G base station;

[0060] (3) Group EARFCN (504990) + PCI (11) and extract the list of 5G base stations carrying the decoded system message SIB1 in all sampled data, including the following five base stations (identified by TAC + CellIdentity):

[0061] 9795-20606144

[0062] 10244-47994369

[0063] 9448-57526141

[0064] 10248-93584969

[0065] 9966-172927235

[0066] (4) Analyze the above 5G base stations carrying system message SIB1 one by one to cover the geographical location where the maximum value of DMRS-RP is located in the sampling point, and update it to the strongest area covered by the 5G base station signal. After the update, the five base stations carry the geographical location information (TAC-CellIdentity, longitude, latitude, DMRS-RP) where their respective signal coverage is strongest:

[0067] 9795-20606144, 113.7306967, 23.0459697, -97.34

[0068] 10244-47994369, 113.7641403, 23.0359088, -87.29

[0069] 9448-57526141, 113.7365921, 22.9998337, -94.64

[0070] 10248-93584969, 113.741019, 22.9776426, -105.2

[0071] 9966-172927235, 113.7747586, 22.9829199, -100.58

[0072] (5) For the sampled data that does not carry the system message SIB1 decoding information, the distance to the area with the strongest signal coverage of the identified 5G base station is calculated in turn, and the threshold of the urban base station coverage distance is ≤3km to determine whether it is within the coverage range of the identified 5G base station; for the sampling point that is not within the coverage range of any identified 5G base station, it will be regarded as a new 5G base station that does not carry the system message SIB1, and its DMRS-RP maximum value and geographical location will be continuously updated;

[0073] (5.1) Taking sampling point ④ as an example, the 5G base station 504990-11 reported in this sampling point does not carry the system message SIB1 information. The distance to the strongest coverage area of ​​the identified 5G base station signal is calculated in sequence. The distance to the strongest coverage area of ​​5G base station 9448-57526141 is 2.1km, which is less than the distance threshold of 3km covered by the urban base station. Therefore, it is considered that this sampling point is within the coverage range of 5G base station 9448-57526141 and is not counted as a new 5G base station;

[0074] (5.2) Taking sampling point ② as an example, the 5G base station 504990-11 reported in this sampling point does not carry the system message SIB1 information. The distance to the strongest coverage area of ​​the identified 5G base station signal is calculated in turn. The distance to the strongest coverage area of ​​5G base station 9795-20606144 is 3.8km, and the distance to the strongest coverage area of ​​5G base station 10244-47994369 is 3.2km, both of which are greater than the distance threshold of 3km covered by urban base stations (the distance to the strongest coverage area of ​​other 5G base stations is farther). Therefore, it is considered that this sampling point is a new 5G base station coverage area, and the 5G base stations in the EARFCN (504990) + PCI (11) group are expanded to 6. The specific information of the 5G base stations is as follows (for 5G base stations that fail to successfully decode the system message SIB1, TAC and CellIdentity are replaced with invalid values ​​0):

[0075] 9795-20606144, 113.7306967, 23.0459697, -97.34

[0076] 10244-47994369, 113.7641403, 23.0359088, -87.29

[0077] 9448-57526141, 113.7365921, 22.9998337, -94.64

[0078] 10248-93584969, 113.741019, 22.9776426, -105.2

[0079] 9966-172927235, 113.7747586, 22.9829199, -100.58

[0080] 0-0, 113.7602409, 23.0598963, -94.16

[0081] (6) Repeat steps (3) to (5) to calculate all 5G base stations in the carrier frequency number EARFCN and physical cell identifier PCI group;

[0082] (7) Based on the EARFCN associated with the operator, the number of 5G base stations of each operator is counted.

[0083] The above base station coverage section diagram for the EARFCN (504990) + PCI (11) group is as follows Figure 2 shown.

[0084] The specific implementation scheme of this embodiment can refer to the relevant description in the above embodiment, which will not be repeated here.

[0085] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0086] It should be noted that, in the description of the present invention, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "plurality" refers to at least two.

[0087] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0088] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution device. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0089] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the corresponding program may be stored in a computer-readable storage medium, which, when executed, includes one of the steps of the method embodiment or a combination thereof.

[0090] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0091] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0092] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0093] The method, device, processor and computer-readable storage medium for implementing quantity evaluation processing for 5G base stations of multiple operators through a frequency scanning device of the present invention can demodulate 5G base stations, support decoding of the system message SIB1 of the base station, and the decoding success rate of SIB1 must be higher than 50%, and the reporting rate of sampling data must be greater than 2 sampling points / second. The built-in navigation module can use GPS or Beidou module, which has a wide range of applications.

[0094] In this specification, the present invention has been described with reference to specific embodiments thereof. However, it is apparent that various modifications and variations may be made without departing from the spirit and scope of the present invention. Therefore, the specification and drawings should be regarded as illustrative rather than restrictive.

Claims

1. A method for implementing quantity evaluation processing for 5G base stations of multiple operators through a frequency scanning device, characterized in that: The method comprises the following steps: (1) Use a frequency sweeping device to conduct vehicle-mounted road testing at the entire prefecture-level city level along the planned route, and collect and store the parameters reported by the frequency sweeping device along the way; (2) parsing the sampled data stored in the frequency scanning device, and grouping and managing the sampled data according to the carrier frequency number EARFCN and the physical cell identifier PCI of the 5G base station; (3) Group any carrier frequency number EARFCN and physical cell identifier PCI, and extract the list of 5G base stations carrying the decoded system message SIB1 in all sampled data; (4) Analyze the 5G base stations carrying the system message SIB1 one by one to cover the geographical location where the maximum DMRS-RP value in the sampling point is located, and update it to the strongest area covered by the 5G base station signal; (5) For the sampled data that does not carry the system message SIB1 decoding information, calculate the distance to the area with the strongest signal coverage of the identified 5G base station in turn, and determine whether it is within the coverage range of the identified 5G base station or is treated as a new 5G base station according to the threshold of the base station coverage distance; (6) Determine whether there are other 5G base station carrier frequency point number EARFCN and physical cell identifier PCI groups to be analyzed. If so, continue with steps (3) to (5) to calculate all 5G base stations in the carrier frequency point number EARFCN and physical cell identifier PCI group; otherwise, continue with step (7); (7) Based on the EARFCN associated with the operator, the number of 5G base stations of each operator is counted.

2. The method for implementing quantity evaluation processing for multiple operators' 5G base stations by using a frequency scanning device according to claim 1, characterized in that: The parameters reported by the scanning device stored in the step (1) include at least the timestamp, the longitude and latitude of the current geographic location, the EARFCN, PCI, DMRS-RP, DMRS-CINR of the 5G base station, and the PLMN, TAC, and CellIdentity information in the system message SIB1.

3. The method for implementing quantity evaluation processing for multiple operators' 5G base stations by using a frequency scanning device according to claim 1, characterized in that: The step (5) specifically comprises the following steps: (5.1) For the sampled data that does not carry the system message SIB1 decoding information, calculate the distance to the area with the strongest signal coverage of the identified 5G base station in turn; (5.2) According to the threshold of the base station coverage distance under different terrain environments, determine whether it is within the coverage range of the identified 5G base station. If it is not within the coverage range of the identified 5G base station, continue with step (5.3); if it is within the coverage range of the identified 5G base station, no processing is performed; (5.3) For sampling points that are not within the coverage of any identified 5G base station, they will be treated as new 5G base stations that do not carry system message SIB1, and their DMRS-RP maximum value and geographical location will be continuously updated.

4. A device for implementing a number evaluation process for 5G base stations of multiple operators through a frequency scanning device, characterized in that: The device comprises: a processor configured to execute computer executable instructions; A memory storing one or more computer executable instructions, which, when executed by the processor, implements the steps of the method for performing quantity assessment processing on multi-operator 5G base stations through a frequency scanning device as described in any one of claims 1 to 3.

5. A processor for implementing quantity evaluation processing for 5G base stations of multiple operators through a frequency scanning device, characterized in that: The processor is configured to execute computer-executable instructions. When the computer-executable instructions are executed by the processor, the various steps of the method for performing quantity assessment processing on multi-operator 5G base stations through a frequency scanning device as described in any one of claims 1 to 3 are implemented.

6. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and the computer program can be executed by a processor to implement the various steps of the method for performing quantity assessment processing on multi-operator 5G base stations through a scanning frequency device as described in any one of claims 1 to 3.

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