Network analysis method, apparatus, and storage medium

Abstract

The application provides a network analysis method and device and a storage medium, relates to the technical field of communication, and can solve the problem that whether a cell is a perceived non-equal cell cannot be accurately determined. The method comprises the following steps: obtaining a measurement report of a target cell, the measurement report comprising target information of at least two operator networks in the target cell, the target information at least comprising sampling point information, and the sampling point information being used to represent the number of user equipment (UE) using each operator network; and determining whether the target cell is a perceived non-equal cell based on the target information of the at least two operator networks. The embodiments of the application are used in the process of comparing whether there is a perceived difference between different operator users under the same base station cell.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of communication, and particularly relates to a network analysis method and device and a storage medium. BACKGROUND

[0002] With the continuous development of network technology, mobile communication networks are also constantly updated, and multiple operators have carried out co-construction and sharing in 4G and 5G networks. Whether the user perception is equal on different operator networks is a problem that each operator is very concerned about.

[0003] In the prior art, when analyzing the perception difference of users of different operators under the same base station cell, the average value of each network index under the base station cell is usually referred to. However, since the average value is used for judgment, the perception difference of many users under the base station cell may be averaged, so that the perception difference of the users under the base station cell cannot be accurately judged, and whether the base station cell is a perception unequal cell cannot be accurately judged. SUMMARY

[0004] The present application provides a network analysis method, device and storage medium, which can solve the problem that whether the base station cell is a perception unequal cell cannot be accurately judged.

[0005] To achieve the above purpose, the present application adopts the following technical solutions:

[0006] In a first aspect, the present application provides a network analysis method, which comprises: acquiring a measurement report of a target cell, the measurement report comprising target information of at least two operator networks in the target cell, the target information comprising at least sampling point information, the sampling point information being used to represent the number of user equipment (UE) using each operator network; and determining whether the target cell is a perception unequal cell based on the target information of the at least two operator networks.

[0007] Based on the above technical solutions, the network analysis method provided by the embodiments of the present application first acquires the target information of at least two operator networks in the target cell, and the target information comprises at least sampling point information. Then, whether the target cell is a perception unequal cell is determined based on the target information of the at least two operator networks. Since the sampling point information is used to represent the number of user equipment (UE) using each operator network, it is convenient to observe whether the users of a certain operator network in the target cell are limited to access, so that whether the target cell is a perception unequal cell can be accurately determined.

[0008] In a first possible implementation manner of the first aspect, the determining whether the target cell is the perceived non-equal cell based on the target information of the at least two operator networks comprises: determining that the target cell is the perceived non-equal cell when a ratio of UE numbers indicated by the sampling point information of a plurality of operator networks in the at least two operator networks is greater than a first preset threshold or less than a second preset threshold.

[0009] In a second possible implementation manner of the first aspect, the first preset threshold and the second preset threshold are determined according to a preset UE number and a preset value by using a preset algorithm, and the preset UE number is a preset maximum number of UEs allowed to use the at least two operator networks.

[0010] In a third possible implementation manner of the first aspect, the target information further comprises reference signal received power (RSRP) information, and the RSRP information is used to represent signal strengths of the at least two operator networks; the determining whether the target cell is the perceived non-equal cell based on the target information of the at least two operator networks comprises: determining whether a target RSRP value is greater than a third preset threshold when a ratio of UE numbers indicated by the sampling point information of a plurality of operator networks in the at least two operator networks is less than or equal to the first preset threshold or greater than or equal to the second preset threshold, the target RSRP value being calculated based on a mean value and a standard deviation value of the RSRP information of the at least two operator networks; and determining that the target cell is the perceived non-equal cell when the target RSRP value is greater than the third preset threshold.

[0011] In a fourth possible implementation manner of the first aspect, the target information further comprises timing advance (TA) information, and the TA information is used to represent distances between base stations corresponding to the at least two operator networks and UEs under the respective base stations; the determining whether the target cell is the perceived non-equal cell based on the target information of the at least two operator networks comprises: determining whether a target TA value is greater than or equal to a fourth preset threshold when the target RSRP value is less than or equal to the third preset threshold, the target TA value being calculated based on a mean value and a standard deviation value of the TA information of the at least two operator networks; and determining that the target cell is the perceived non-equal cell when the target TA value is greater than the fourth preset threshold, or determining that the target cell is not the perceived non-equal cell when the target TA value is less than or equal to the fourth preset threshold.

[0012] In a second aspect, the present application provides a network analysis device, comprising: an obtaining unit and a determining unit, wherein: the obtaining unit is configured to obtain a measurement report of a target cell, the measurement report comprising target information of at least two operator networks in the target cell, the target information comprising at least sampling point information, the sampling point information being used to represent the number of user equipment (UE) using each operator network; and the determining unit is configured to determine whether the target cell is a perceived non-equal cell based on the target information of the at least two operator networks.

[0013] In a first possible implementation manner of the second aspect, the determining unit is specifically configured to determine that the target cell is the perceived non-equal cell when the ratio of the number of UEs indicated by the sampling point information of a plurality of operator networks in the at least two operator networks is greater than a first preset threshold or less than a second preset threshold.

[0014] In a second possible implementation manner of the second aspect, the determining unit is further configured to determine the first preset threshold and the second preset threshold according to a preset UE number and a preset value by using a preset algorithm, the preset UE number being a preset maximum number of UEs allowed to use the at least two operator networks.

[0015] In a third possible implementation manner of the second aspect, the target information further comprises reference signal received power (RSRP) information, the RSRP information being used to represent the signal strength of each operator network; and the determining unit is specifically configured to: determine whether a target RSRP value is greater than a third preset threshold when the ratio of the number of UEs indicated by the sampling point information of a plurality of operator networks in the at least two operator networks is less than or equal to the first preset threshold or greater than or equal to the second preset threshold, the target RSRP value being calculated based on the mean and standard deviation of the RSRP information of the at least two operator networks; and determine that the target cell is the perceived non-equal cell when the target RSRP value is greater than the third preset threshold.

[0016] In a fourth possible implementation manner of the second aspect, the target information further includes time advance (TA) information, the TA information being used to represent a distance between a UE and a base station of each operator network; the determining unit is further configured to: in a case where the target RSRP value is less than or equal to the third preset threshold, determine whether a target TA value is greater than or equal to a fourth preset threshold, the target TA value being calculated based on a mean value and a standard deviation value of the TA information of the at least two operator networks; in a case where the target TA value is greater than the fourth preset threshold, determine that the target cell is the perceived non-equal cell; or in a case where the target TA value is less than or equal to the fourth preset threshold, determine that the target cell is not the perceived non-equal cell.

[0017] In a third aspect, the present application provides a network analysis apparatus, the apparatus comprising: a processor and a communication interface; the communication interface and the processor are coupled, and the processor is configured to run computer programs or instructions to implement the network analysis method as described in the first aspect and any possible implementation manner of the first aspect.

[0018] In a fourth aspect, the present application provides a computer readable storage medium, the computer readable storage medium storing instructions, when the instructions are run on a terminal, causing the terminal to perform the network analysis method as described in the first aspect and any possible implementation manner of the first aspect.

[0019] In a fifth aspect, the embodiments of the present application provide a computer program product containing instructions, when the computer program product is run on a network analysis apparatus, causing the network analysis apparatus to perform the network analysis method as described in the first aspect and any possible implementation manner of the first aspect.

[0020] In a sixth aspect, the embodiments of the present application provide a chip, the chip comprising a processor and a communication interface, the communication interface and the processor being coupled, and the processor being configured to run computer programs or instructions to implement the network analysis method as described in the first aspect and any possible implementation manner of the first aspect.

[0021] Specifically, the chip provided in the embodiments of the present application further comprises a memory for storing computer programs or instructions. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 A flowchart of a network analysis method provided in the embodiments of the present application;

[0023] Figure 2 A structural schematic diagram of a network analysis apparatus provided in the embodiments of the present application;

[0024] Figure 3 A structural schematic diagram of another network analysis apparatus provided in the embodiments of the present application;

[0025] Figure 4 A structural schematic diagram of a chip is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0026] The network analysis method, device and storage medium provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0027] The term "and / or" in this document merely describes an association relationship of associated objects, and indicates that there can be three relationships, for example, A and / or B can represent three cases of A alone, A and B together, and B alone.

[0028] The terms "first" and "second" and the like in the description of the present application and the accompanying drawings are used to distinguish different objects or different treatments of the same object, and are not used to describe the specific order of the objects.

[0029] In addition, the terms "include" and "have" and any variations thereof mentioned in the description of the present application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but can optionally include other steps or units not listed, or can optionally include other steps or units inherent to the process, method, product or device.

[0030] It should be noted that in the embodiments of the present application, the words "exemplary" or "for example" are used to represent an example, illustration or description. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the use of "exemplary" or "for example" is intended to present the relevant concept in a specific manner.

[0031] In the description of the present application, "a plurality of" means two or more, unless otherwise specified.

[0032] At present, 4G and 5G networks of multiple operators have carried out co-construction and sharing. Whether users perceive equality on the network of the other operator is a problem that both operators are very concerned about. In the related technology, when evaluating the perception difference of users using multiple operator networks under a base station cell, the absolute difference of the average value of a single network index is considered. However, the average value can easily average the perception difference of numerous users under the base station cell, and cannot count whether there is a significant difference in the number of users of different operator networks under the same base station cell, so as to determine whether the users of a certain operator network are restricted to access, and further accurately determine whether the base station cell is a perception inequality cell.

[0033] In order to solve the problem that whether a base station cell is a perceived non-equal cell cannot be accurately determined in the prior art, the present application provides a network analysis method, obtaining a measurement report of a target cell, the measurement report comprising target information of at least two operator networks in the target cell, the target information at least comprising sampling point information, the sampling point information being used to represent the number of user equipment (UE) using each operator network; determining whether the target cell is a perceived non-equal cell based on the target information of the at least two operator networks. Since the sampling point information is used to represent the number of user equipment (UE) using each operator network, it is convenient to observe whether the users of a certain operator network in the target cell are limited to access, so that whether the target cell is a perceived non-equal cell can be accurately determined.

[0034] As shown in Figure 1 FIG. 1 is a flowchart of a network analysis method provided by an embodiment of the present application, the method comprising the following steps S101 and S102:

[0035] S101, obtaining a measurement report of a target cell.

[0036] In the embodiment of the present application, the target cell refers to an area covered by a base station or a part of a base station in a cellular mobile communication system. In other words, the range covered by a base station is called a cell.

[0037] In the embodiment of the present application, the measurement report refers to data sent by information on a service channel.

[0038] In the embodiment of the present application, the measurement report comprises target information of at least two operator networks in the target cell.

[0039] Exemplarily, the target information at least comprises sampling point information.

[0040] In the embodiment of the present application, the sampling point information is used to represent the number of user equipment (UE) using each operator network.

[0041] S102, determining whether the target cell is a perceived non-equal cell based on the target information of the at least two operator networks.

[0042] In the embodiment of the present application, the perceived non-equal cell refers to the coverage of users using the at least two operator networks in the target cell, and the difference is large.

[0043] In the network analysis method provided in the embodiments of the present application, target information of at least two operator networks in a target cell is acquired first, and the target information at least includes sampling point information. Then, whether the target cell is a perceived non-equal cell is determined based on the target information of the at least two operator networks. Since the sampling point information is used to represent the number of user equipment (UE) using each operator network, it is convenient to observe whether the users of a certain operator network in the target cell are limited to access, so that whether the target cell is a perceived non-equal cell can be accurately determined.

[0044] Optionally, in the embodiments of the present application, the step S102 of "determining whether the target cell is a perceived non-equal cell based on the target information of the at least two operator networks" can include the following step S102a:

[0045] S102a, in the case that the ratio of the number of UEs indicated by the sampling point information of a plurality of operator networks in the at least two operator networks is greater than a first preset threshold or less than a second preset threshold, it is determined that the target cell is a perceived non-equal cell.

[0046] In the embodiments of the present application, the first preset threshold and the second preset threshold are different.

[0047] For example, taking the case that the at least two operator networks include a first operator network and a second operator network as an example. If the number of UEs indicated by the sampling point information of the first operator network is a, and the number of UEs indicated by the sampling point information of the second operator network is b, then the ratio of the number of UEs is a / b.

[0048] Further optionally, in the embodiments of the present application, in combination with the step S102a, the network analysis method provided in the embodiments of the present application can further include the following step S103:

[0049] S103, using a preset algorithm, determining the first preset threshold and the second preset threshold according to a preset number of UEs and a preset value.

[0050] In the embodiments of the present application, the preset number of UEs is a preset maximum number of UEs allowed to use the at least two operator networks.

[0051] For example, assuming that the ratio of the number of UEs using the first operator network to the number of UEs using the second operator network in a preset target cell is c, and the preset value is d, then the first preset threshold can be calculated as c*(1+d%) and the second preset threshold can be calculated as c*(1-d%) according to the preset algorithm.

[0052] Therefore, the accuracy of determining the perceived non-equal cell is further improved by calculating a plurality of preset threshold values according to the maximum number of UEs of each operator allowed to use in the target cell and a preset value.

[0053] In the embodiment of the present application, if the ratio of the number of UEs a / b is greater than the first preset threshold c*(1+d%), or the ratio of the number of UEs a / b is less than the second preset threshold c*(1-d%), the target cell is a perceived non-equal cell.

[0054] Therefore, by comparing the number of UEs indicated by the sampling point information of the plurality of operator networks in the target cell with the size of the preset threshold value, whether the target cell is a perceived non-equal cell can be further accurately determined.

[0055] Optionally, in the embodiment of the present application, the target information further includes reference signal received power (RSRP) information, and the step S102 of "determining whether the target cell is a perceived non-equal cell based on the target information of at least two operator networks" can include the following steps S102b and S102c:

[0056] S102b, in the case that the ratio of the number of UEs indicated by the sampling point information of the plurality of operator networks in the at least two operator networks is less than or equal to the first preset threshold, or greater than or equal to the second preset threshold, determining whether the target RSRP value is greater than a third preset threshold.

[0057] In the embodiment of the present application, the RSRP information is used to represent the signal strength of each operator network.

[0058] In the embodiment of the present application, the target RSRP value is calculated based on the mean value and the standard deviation value of the RSRP information of the at least two operator networks.

[0059] In the embodiment of the present application, in the case that the target cell cannot be determined to be a perceived non-equal cell based on the sampling point information, whether the target cell is a perceived non-equal cell can also be determined based on the RSRP information.

[0060] For example, the at least two operator networks include a first operator network and a second operator network. If the mean value of the RSRP information of the first operator network is x1, and the standard deviation value is s1; the mean value of the RSRP information of the second operator network is x2, and the standard deviation value is s2, the target RSRP value E can be calculated according to formula 1. Formula 1 is as follows:

[0061]

[0062] S102c, in a case where the target RSRP value is greater than a third preset threshold value, determining that the target cell is a perceived non-equal cell.

[0063] In the embodiment of the present application, the third preset threshold value is a threshold value set by a user.

[0064] For example, the third preset threshold value F is taken as an example. If the ratio a / b of the number of UEs is less than or equal to the first preset threshold value c*(1+d%), or the ratio a / b of the number of UEs is greater than or equal to the second preset threshold value c*(1-d%), then the target RSRP value E is compared with the third preset threshold value F; if the target RSRP value E is greater than the third preset threshold value F, then the target cell is a perceived non-equal cell.

[0065] In this way, in a case where the target cell cannot be determined to be a perceived non-equal cell based on the sampling point information, the target cell is further determined based on the RSRP information, thereby improving the accuracy of determining whether the target cell is a perceived non-equal cell.

[0066] Optionally, in the embodiment of the present application, the target information further includes time advance TA information, and in combination with the steps S102b and S102c, the network analysis method provided by the embodiment of the present application can further include the following steps S102d to S102f:

[0067] S102d, in a case where the target RSRP value is less than or equal to the third preset threshold value, determining whether the target TA value is greater than a fourth preset threshold value.

[0068] In the embodiment of the present application, the TA information is used to represent the distance between the base station corresponding to each operator network and the UE under the respective base station.

[0069] For example, the at least two operator networks include a first operator network and a second operator network. The TA information of the first operator network is the distance between the first base station corresponding to the first operator network and the UE under the first base station. The TA information of the second operator network is the distance between the second base station corresponding to the second operator network and the UE under the second base station.

[0070] In the embodiment of the present application, the target TA value is calculated based on the mean and standard deviation of the TA information of the at least two operator networks.

[0071] In the embodiment of the present application, in a case where the target cell cannot be determined to be a perceived non-equal cell based on the sampling point information, and the target cell also cannot be determined to be a perceived non-equal cell based on the RSRP information, the target cell can also be determined to be a perceived non-equal cell based on the TA information.

[0072] For example, taking the above-mentioned at least two operator networks, including a first operator network and a second operator network, as an example. If the mean value of the TA information of the first operator network is y1 and the standard deviation value is m1; and the mean value of the TA information of the second operator network is y2 and the standard deviation value is m2, then the target TA value G can be calculated according to Formula 2. Formula 2 is as follows:

[0073]

[0074] S102e. If the target TA value is greater than the fourth preset threshold, the target cell is determined to be a perception asymmetry cell.

[0075] In this embodiment of the application, the fourth preset threshold is a threshold value set by the user.

[0076] For example, taking the fourth preset threshold H as an example. If the target RSRP value E is less than or equal to the third preset threshold F, then the target TA value G is compared with the fourth preset threshold H; if the target TA value G is greater than the fourth preset threshold H, then the target cell is a perception asymmetry cell.

[0077] S102f: If the target TA value is less than or equal to the fourth preset threshold, determine that the target cell is not a perception asymmetry cell.

[0078] For example, if the target TA value G is less than or equal to the fourth preset threshold H, then the target cell is not a perception asymmetry cell.

[0079] It should be noted that in the case of the aforementioned target cell with asymmetric perception, there is no difference in user perception among the various operator networks within the target cell.

[0080] This application embodiment can divide the network analysis device into functional units or functional units according to the above method examples. For example, each function can be divided into separate functional units or functional units, or two or more functions can be integrated into one processing unit. The integrated unit can be implemented in hardware or as a software functional unit or functional unit. The unit or unit division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0081] like Figure 2 The diagram shown is a schematic representation of a network analysis device provided in an embodiment of this application. The device includes an acquisition unit 201 and a determination unit 202.

[0082] The obtaining unit 201 is configured to obtain a measurement report of a target cell, the measurement report comprising target information of at least two operator networks in the target cell, the target information comprising at least sampling point information used to represent the number of user equipment (UE) using each operator network; and the determining unit 202 is configured to determine whether the target cell is a perceived non-equal cell based on the target information of the at least two operator networks.

[0083] Optionally, in the embodiments of the present application, the determining unit 202 is specifically configured to determine that the target cell is the perceived non-equal cell when the ratio of the number of UEs indicated by the sampling point information of a plurality of operator networks in the at least two operator networks is greater than a first preset threshold or less than a second preset threshold.

[0084] Optionally, in the embodiments of the present application, the determining unit 202 is further configured to determine the first preset threshold and the second preset threshold according to a preset UE number and a preset value by using a preset algorithm, wherein the preset UE number is a preset maximum number of UEs allowed to use the at least two operator networks.

[0085] Optionally, in the embodiments of the present application, the target information further comprises reference signal received power (RSRP) information used to represent the signal strength of each operator network; and the determining unit 202 is specifically configured to determine whether a target RSRP value is greater than a third preset threshold when the ratio of the number of UEs indicated by the sampling point information of a plurality of operator networks in the at least two operator networks is less than or equal to the first preset threshold or greater than or equal to the second preset threshold, wherein the target RSRP value is calculated based on the mean and standard deviation of the RSRP information of the at least two operator networks; and determine that the target cell is the perceived non-equal cell when the target RSRP value is greater than the third preset threshold.

[0086] Optionally, in the embodiments of the present application, the target information further comprises time advance (TA) information used to represent the distance between the UE and the base station of each operator network; and the determining unit 202 is further configured to determine whether a target TA value is greater than a fourth preset threshold when the target RSRP value is less than or equal to the third preset threshold, wherein the target TA value is calculated based on the mean and standard deviation of the TA information of the at least two operator networks; and determine that the target cell is the perceived non-equal cell when the target TA value is greater than the fourth preset threshold, or determine that the target cell is not the perceived non-equal cell when the target TA value is less than or equal to the fourth preset threshold.

[0087] In the network analysis apparatus provided by the embodiments of the present application, the target information of at least two operator networks in the target cell is acquired first, and the target information at least includes sampling point information. Then, whether the target cell is a perceived non-equal cell is determined based on the target information of the at least two operator networks. Since the sampling point information is used to represent the number of user equipment (UE) using each operator network, it is convenient to observe whether the users of a certain operator network in the target cell are limited to access, so that whether the target cell is a perceived non-equal cell can be determined accurately.

[0088] When implemented by hardware, the determining unit 202 in the embodiments of the present application can be integrated on a communication interface, and the acquiring unit 201 can be integrated on a processor. The specific implementation manner is as shown in Figure 3 .

[0089] Figure 3 Another possible structure of the network analysis apparatus involved in the above embodiments is shown. The network analysis apparatus includes a processor 302 and a communication interface 303. The processor 302 is configured to control and manage the actions of the network analysis apparatus, for example, to perform the steps performed by the acquiring unit 201, and / or to perform other processes of the technology described herein. The communication interface 303 is configured to support the communication between the network analysis apparatus and other network entities, for example, to perform the steps performed by the determining unit 202. The network analysis apparatus can also include a memory 301 and a bus 304. The memory 301 is configured to store the program code and data of the network analysis apparatus.

[0090] The memory 301 can be a memory in the network analysis apparatus, and can include a volatile memory, such as a random access memory; the memory can also include a non-volatile memory, such as a read-only memory, a flash memory, a hard disk or a solid state disk; the memory can also include a combination of the above kinds of memories.

[0091] The processor 302 can be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array, or other programmable logic device, transistor logic, hardware components, or any combination thereof. It can implement or execute the various exemplary logical blocks, modules and circuits described in connection with the disclosure of the present application. The processor can also be a combination of computing functions, such as a combination of one or more microprocessors, a combination of DSP and microprocessor, etc.

[0092] The bus 304 can be an Extended Industry Standard Architecture (EISA) bus, etc. The bus 304 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one bus or one type of bus can be used in the actual implementation, but this does not mean that only one bus or one type of bus is used.

[0093] Figure 4 FIG. 17 is a structural schematic diagram of a chip 170 provided by an embodiment of the present application. The chip 170 includes one or more (including two) processors 1710 and a communication interface 1730.

[0094] Optionally, the chip 170 further includes a memory 1740, which can include a read-only memory and a random access memory, and provides operation instructions and data for the processor 1710. A part of the memory 1740 can further include a non-volatile random access memory (NVRAM).

[0095] In some embodiments, the memory 1740 stores the following elements, execution modules or data structures, or a subset of them, or an extended set of them.

[0096] In an embodiment of the present application, corresponding operations are performed by invoking operation instructions (which can be stored in an operating system) stored in the memory 1740.

[0097] The processor 1710 can implement or execute the various exemplary logical blocks, units and circuits described in combination with the disclosure of the present application. The processor can be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component or any combination thereof. It can implement or execute the various exemplary logical blocks, units and circuits described in combination with the disclosure of the present application. The processor can also be a combination that implements a computing function, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0098] The memory 1740 can include a volatile memory, such as a random access memory; the memory can also include a non-volatile memory, such as a read-only memory, a flash memory, a hard disk or a solid state disk; the memory can also include a combination of the above kinds of memories.

[0099] The bus 1720 can be an Extended Industry Standard Architecture (EISA) bus, etc. The bus 1720 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one line is used in the middle, but it does not mean that there is only one bus or one type of bus.

[0100] Through the description of the above embodiments, those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above division of functional modules is taken as an example, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0101] The embodiment of the present application provides a computer program product containing instructions, when the computer program product runs on a computer, so that the computer executes the network analysis method in the method embodiments described above.

[0102] The embodiment of the present application also provides a computer readable storage medium, and the computer readable storage medium stores instructions, when the instructions run on a computer, so that the computer executes the network analysis method in the method flow shown in the method embodiments described above.

[0103] The computer readable storage medium, for example, can be, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium include an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a register, a hard disk, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing, or any other medium from which a processor can read information. An exemplary storage medium is coupled to the processor such that the processor can read information from, and write information to, the storage medium. Of course, the disclosure is not limited to a particular storage medium. The processor and the storage medium can be located in an ASIC. In some embodiments, the computer readable storage medium can be a tangible medium that contains or stores a program (i.e., a plurality of instructions) that can be used, directly or indirectly, by or in connection with the instruction execution system, apparatus, or device to produce a machine, such that the instructions, in combination with the machine, also produce a transformation of a physical quantity into an arbitrary form of energy.

[0104] The embodiments of the present application provide a computer program product containing instructions, which, when executed on a computer, cause the computer to perform the network analysis method as described in Figures 1 to 4 .

[0105] Since the network analysis apparatus, the computer readable storage medium, and the computer program product in the embodiments of the present application can be applied to the above method, the technical effects that can be achieved thereby can be referred to the above method embodiments, which will not be described herein again.

[0106] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other manners. For example, the described device embodiments are merely schematic. For example, the division of the units is only a logical function division. There can be another division manner for the actual implementation, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections can be indirect couplings or communication connections through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0107] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0108] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit.

[0109] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto, any change or replacement within the technical scope disclosed in the present application should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A network analysis method, characterized in that, The method includes: Obtain a measurement report of the target cell, the measurement report including target information of at least two operator networks in the target cell, the target information including at least sampling point information, the sampling point information being used to characterize the number of user equipment (UE) using each operator network; Based on the target information of the at least two operator networks, it is determined whether the target cell is a perceived asymmetric cell; specifically, if the ratio of the number of UEs indicated by the sampling point information of multiple operator networks in the at least two operator networks is greater than a first preset threshold or less than a second preset threshold, the target cell is determined to be the perceived asymmetric cell; the first preset threshold is different from the second preset threshold.

2. The method according to claim 1, characterized in that, The at least two operator networks include a first operator network and a second operator network, and the method further includes: A preset algorithm is used to determine the first preset threshold and the second preset threshold based on a preset number of UEs and a preset value. The preset number of UEs is a preset maximum number of UEs allowed to use the at least two operator networks. The first preset threshold is c*(1+d%), and the second preset threshold is c*(1-d%). c is the ratio of the maximum number of UEs using the first operator network to the maximum number of UEs using the second operator network in the target cell, and d is the preset value.

3. The method according to claim 1, characterized in that, The target information also includes Reference Signal Received Power (RSRP) information, which is used to characterize the signal strength of each operator's network. Determining whether the target cell is a perceived asymmetry cell based on the target information of the at least two operator networks includes: If the ratio of the number of UEs indicated by the sampling point information of multiple operator networks in the at least two operator networks is less than or equal to a first preset threshold, or greater than or equal to a second preset threshold, it is determined whether the target RSRP value is greater than a third preset threshold. The target RSRP value is calculated based on the mean and standard deviation of the RSRP information of the at least two operator networks. If the target RSRP value is greater than the third preset threshold, the target cell is determined to be the perception asymmetry cell.

4. The method according to claim 3, characterized in that, The target information also includes timing advance (TA) information, which is used to characterize the distance between the base station corresponding to each operator's network and the UE under the respective base station. The method further includes: If the target RSRP value is less than or equal to the third preset threshold, determine whether the target TA value is greater than the fourth preset threshold. The target TA value is calculated based on the mean and standard deviation of the TA information of the at least two operator networks. If the target TA value is greater than the fourth preset threshold, the target cell is determined to be the perception asymmetry cell; or, If the target TA value is less than or equal to the fourth preset threshold, it is determined that the target cell is not the perception asymmetry cell.

5. A network analysis device, characterized in that, The device includes: an acquisition unit and a determination unit, wherein: The acquisition unit is used to acquire a measurement report of the target cell. The measurement report includes target information of at least two operator networks in the target cell. The target information includes at least sampling point information, which is used to characterize the number of user equipment (UE) using each operator network. The determining unit is used to determine whether the target cell is a perceived asymmetric cell based on the target information of the at least two operator networks; specifically, if the ratio of the number of UEs indicated by the sampling point information of multiple operator networks in the at least two operator networks is greater than a first preset threshold or less than a second preset threshold, the target cell is determined to be the perceived asymmetric cell; the first preset threshold is different from the second preset threshold.

6. The apparatus according to claim 5, characterized in that, The at least two operator networks include a first operator network and a second operator network. The determining unit is further configured to use a preset algorithm to determine the first preset threshold and the second preset threshold based on a preset number of UEs and a preset value, wherein the preset number of UEs is a preset maximum number of UEs allowed to use the at least two operator networks; wherein the first preset threshold is c*(1+d%), the second preset threshold is c*(1-d%), c is the ratio of the maximum number of UEs using the first operator network to the maximum number of UEs using the second operator network in the target cell, and d is the preset value.

7. The apparatus according to claim 5, characterized in that, The target information also includes Reference Signal Received Power (RSRP) information, which is used to characterize the signal strength of each operator's network. The determining unit is specifically used for: If the ratio of the number of UEs indicated by the sampling point information of multiple operator networks in the at least two operator networks is less than or equal to a first preset threshold, or greater than or equal to a second preset threshold, it is determined whether the target RSRP value is greater than a third preset threshold. The target RSRP value is calculated based on the mean and standard deviation of the RSRP information of the at least two operator networks. If the target RSRP value is greater than the third preset threshold, the target cell is determined to be the perception asymmetry cell.

8. The apparatus according to claim 7, characterized in that, The target information also includes timing advance (TA) information, which is used to characterize the distance between the UE and the base station in each operator's network; The determining unit is further configured to: If the target RSRP value is less than or equal to the third preset threshold, determine whether the target TA value is greater than the fourth preset threshold. The target TA value is calculated based on the mean and standard deviation of the TA information of the at least two operator networks. If the target TA value is greater than the fourth preset threshold, the target cell is determined to be the perception asymmetry cell; or, If the target TA value is less than or equal to the fourth preset threshold, it is determined that the target cell is not the perception asymmetry cell.

9. A network analysis device, characterized in that, include: A processor and a communication interface; the communication interface is coupled to the processor, the processor being used to run computer programs or instructions to implement the network analysis method as described in any one of claims 1-4.

10. A computer-readable storage medium storing instructions, characterized in that, When the computer executes the instruction, the computer performs the network analysis method described in any one of claims 1-4.

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