CN110493813B

CN110493813B - Method, device, equipment and medium for determining weak coverage area

Info

Publication number: CN110493813B
Application number: CN201810461222.1A
Authority: CN
Inventors: 张烁
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Hubei Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Hubei Co Ltd
Priority date: 2018-05-15
Filing date: 2018-05-15
Publication date: 2022-07-01
Anticipated expiration: 2038-05-15
Also published as: CN110493813A

Abstract

The embodiment of the invention provides a method, a device, equipment and a medium for determining a weak coverage area, which are used for comprehensively identifying the weak coverage problem in a network. The method for determining the weak coverage problem comprises the following steps: acquiring measurement report MR data reported by a user; selecting a target redirection event from MRE data reported by a user to trigger the reporting of the MRE data; determining the grid position of each MRO data reported by the user based on the MRO data reported by the user; determining the grid position of each MRE data reported by a user in the selected MRE data by utilizing the pre-established incidence relation between the MRO data and the MRE data; and determining that the area where the grid position is located is a weak coverage area when the number of the users triggered to report the MRE data by the target redirection event in any grid position meets a preset condition in the determined grid positions where the users report each MRE data.

Description

Method, device, equipment and medium for determining weak coverage area

Technical Field

The present invention relates to the field of network optimization technologies, and in particular, to a method, an apparatus, a device, and a medium for determining a weak coverage area.

Background

The weak coverage refers to a phenomenon that a base station coverage signal in a cell boundary region is weak due to overlarge base station coverage area, overlarge base station distance, building shielding and the like. In practical application, the weak coverage directly affects the call quality of the user, and therefore, each communication operator needs to optimize for the problem of the weak coverage existing in the network optimization process.

In the prior art, when a weak coverage area existing in a network is identified, it is generally determined whether a cell has a weak coverage problem according to a proportion of sampling points in which Reference Signal Receiving Power (RSRP) is less than-110 decibels (db) in MR data sampling points by collecting Measurement Report (MR) data reported by users in the cell.

Although the weak coverage problem existing in the cell can be identified by the above method for judging whether the cell has the weak coverage problem based on the MR data reported by the users in the cell, in practice, because many MR data sampling points exist, the whole MR data does not reach the weak coverage judgment threshold, but a large number of users are reselected or redirected to different systems due to the reasons of rapid level attenuation, deep coverage problem and the like, and the situation that enough weak coverage sampling points cannot be reported is not reported, so the method cannot comprehensively identify the weak coverage problem existing in the network.

Disclosure of Invention

The embodiment of the invention provides a method, a device, equipment and a medium for determining a weak coverage area, which are used for comprehensively identifying the weak coverage problem in a network.

In a first aspect, an embodiment of the present invention provides a method for determining a weak coverage area, where the method for determining a weak coverage area includes:

acquiring Measurement Report (MR) data reported by a user, wherein the MR data comprises MR Original (MRO) data and Event triggered MR Event (MRE) data;

selecting a target redirection event from MRE data reported by a user to trigger the reporting of the MRE data;

determining the grid position of each MRO data reported by the user based on the MRO data reported by the user;

determining the grid position of each MRE data reported by a user in the selected MRE data by utilizing the pre-established incidence relation between the MRO data and the MRE data;

and determining that the area where the grid position is located is a weak coverage area when the number of the users triggered to report the MRE data by the target redirection event in any grid position meets a preset condition in the determined grid positions where the users report each MRE data.

In a second aspect, an embodiment of the present invention provides an apparatus for determining a weak coverage area, where the apparatus for determining a weak coverage area includes:

the acquisition module is used for acquiring measurement report MR data reported by a user, wherein the MR data comprises measurement report MRO data and event-triggered measurement report MRE data;

the selection module is used for selecting a target redirection event from the MRE data reported by the user to trigger the reporting of the MRE data;

the positioning module is used for determining the grid position where each MRO data is reported by the user based on the MRO data reported by the user;

the processing module is used for determining the grid position of each MRE data when the user reports each MRE data in the selected MRE data by utilizing the pre-established incidence relation between the MRO data and the MRE data;

and the determining module is used for determining that the area where the grid position is located is a weak coverage area when the number of the users triggered to report the MRE data by the target redirection event in any grid position meets a preset condition in the grid positions where the determined users report each MRE data.

In a third aspect, an embodiment of the present invention provides a device for determining a weak coverage area, where the device includes: at least one processor, at least one memory, and computer program instructions stored in the memory, which when executed by the processor, implement the method of the first aspect of the embodiments described above.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which computer program instructions are stored, which, when executed by a processor, implement the method of the first aspect in the foregoing embodiments.

The method, the device, the equipment and the medium for determining the weak coverage area provided by the embodiment of the invention can realize the positioning of the grid-level weak coverage area and comprehensively identify the weak coverage problem in the network.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a flowchart illustrating a method for determining a weak coverage area according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of a device for determining a weak coverage area according to an embodiment of the present invention;

fig. 3 is a schematic structural diagram illustrating a device for determining a weak coverage area according to an embodiment of the present invention.

Detailed Description

Features and exemplary embodiments of various aspects of the present invention will be described in detail below, and in order to make objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of additional identical elements in the process, method, article, or apparatus that comprises the element.

It should be noted that, in a Time Division Long Term Evolution (TD-LTE) system, the MR outputs three parts: MRE data, MRO data, and measurement report Statistics (MR Statistics) MRs data. The MRE data is measurement statistics of events, the MRO data and the MRS data are measurement statistics based on periodicity, the MRO data is raw statistics of periodic measurement events of each user, and the MRS data is average statistics of the MRO data at a cell level.

The following first describes a method for determining a weak coverage area according to an embodiment of the present invention with reference to the accompanying drawings.

As shown in fig. 1, fig. 1 is a schematic flowchart illustrating a method for determining a weak coverage area according to an embodiment of the present invention. It may include:

step S101, obtaining measurement report MR data reported by a user, wherein the MR data comprises measurement report MRO data and event-triggered measurement report MRE data.

In the embodiment of the invention, the MR data reported by the users comprise MRO data and MRE data, wherein the MRE data is measurement statistics of events, the MRO data and the MRS data are measurement statistics based on periodicity, and the MRO data is original statistics of periodic measurement events of each user.

In specific implementation, when acquiring MR data reported by a user, the MR data of the whole volume, that is, the MR data including all fields, needs to be acquired. Specifically, the fields and descriptions included in the MR data are shown in table 1 below.

TABLE 1

Step S102, selecting a target redirection event from MRE data reported by a user to trigger reporting of the MRE data.

In actual measurement, MRE data may be reported triggered by various events, such as: an A1 event, an A2 event, an A3 event, and the like. The MRE data are distinguished through an MR TYPE field in the MRE data, as shown in the table 1, when the MR TYPE field is 2, the MRE data are reported by triggering of an A1 event, when the MR TYPE field is 3, the MRE data are reported by triggering of an A2 event, and so on.

Among various events, the a2 event indicates that a measurement report is reported when the Long Term Evolution (LTE) serving cell strength or signal quality is lower than a certain threshold, and is used for triggering an inter-frequency and inter-system measurement event or a redirection event. Therefore, the embodiment of the invention can determine the weak coverage problem by screening the MRE data reported by triggering the A2 event.

However, in practical applications, the redirection event caused by the a2 event is divided into two types, one is a redirection event caused by voice traffic, and the other is a redirection event caused by data traffic.

Specifically, the redirection event caused by the voice service refers to: since The 4th Generation Mobile Communication technology (4G) does not support voice service, when a user finds voice service, it is redirected to a Global System for Mobile Communication (GSM) or Time Division multiplexing (TD) System through a Circuit Switched Fallback (CSFB). Such redirection events belong to normal redirection events and are not due to weak coverage problems.

The redirection event triggered by the data traffic refers to: the redirection event can intuitively reflect the situations of LTE coverage and data service user perception due to network reasons such as poor 4G signal quality and the like, namely the redirection event is mostly caused by a weak coverage problem.

In view of the above analysis, in the embodiment of the present invention, when determining a weak coverage area, the target redirection event generally refers to a redirection event caused by data traffic in the a2 event.

Of course, it should be understood by those skilled in the art that in other embodiments of the present invention, the target redirection event may also be a redirection event caused by other traffic or other events if other problems in the network are determined.

In specific implementation, selecting a target redirection event from MRE data reported by a user to trigger reporting of the MRE data includes: acquiring a blind redirection threshold value corresponding to each MRE data; selecting MRE data reported triggered by an A2 event from MRE data reported by a user; selecting MRE data, of which Reference Signal Receiving Power (RSRP) is smaller than a blind redirection threshold value corresponding to the MRE data, from the selected MRE data reported by triggering of the A2 event, wherein the MRE data comprises Reference Signal Redirection Power (RSRP) as the MRE data reported by triggering of the target redirection event.

In specific implementation, when the blind redirection threshold corresponding to each MRE data is obtained, it is required to first extract the cell identifier and the reporting time corresponding to each MRE data, and then obtain, from an Operation and Maintenance Center (OMC), the blind redirection threshold corresponding to the reporting time of the cell to which the cell identifier belongs on the MRE data as the blind redirection threshold corresponding to the MRE data, based on the extracted cell identifier and the reporting time corresponding to each MRE data. The blind redirection threshold parameter setting corresponding to each manufacturer is shown in table 2 below.

TABLE 2

In specific implementation, the MRE data reported by triggering of the a2 event is selected from the MRE data reported by the user, and the selection may be performed according to the value of the "MR TYPE" field in the MRE data. Specifically, the MRE data with the value of 3 in the "MR TYPE" field is selected as the MRE data reported by the trigger of the a2 event.

In specific implementation, after the blind redirection threshold value corresponding to each MRE data is obtained, it may be determined whether each MRE data is the MRE data triggered and reported by the target redirection event according to the blind redirection threshold value corresponding to each MRE data in the selected MRE data triggered and reported by the a2 event. Specifically, in the selected MRE data reported by the event trigger of a2, if it is determined that RSRP included in the MRE data is less than a blind redirection threshold corresponding to the MRE data, it is determined that the MRE data is the MRE data reported by the event trigger of the target redirection, otherwise, if it is determined that RSRP included in the MRE data is greater than or equal to the blind redirection threshold corresponding to the MRE data, it is determined that the MRE data is not the MRE data reported by the event trigger of the target redirection.

After determining whether each MRE data is the MRE data triggered and reported by the target redirection event in the selected MRE data triggered and reported by the a2 event, the MRE data triggered and reported by the target redirection event may be selected from the selected MRE data triggered and reported by the a2 event.

And step S103, determining the grid position where each MRO data is reported by the user based on the MRO data reported by the user.

In the embodiment of the invention, when the grid position where each MRO data is reported by the user is determined based on the MRO data reported by the user, the grid position can be determined by adopting a fingerprint positioning algorithm. Wherein the grid location comprises a longitude of a center of the grid and a latitude of a center point of the grid.

Of course, in other embodiments of the present invention, other algorithms may be used for determining, and are not limited to the following specifically, for example: satellite positioning, etc.

It should be noted that, in the embodiment of the present invention, step S103 and step S102 are not sequentially divided. In this embodiment, step S102 is executed first and then step S103 is executed, but in other embodiments of the present invention, step S102 may be executed after step S103 is executed first.

And step S104, determining the grid position of each MRE data reported by the user in the selected MRE data by using the pre-established association relationship between the MRO data and the MRE data.

It should be noted that, after step S102 is executed to select a target redirection event from the MRE data reported by the user to trigger reporting of the MRE data, and step S103 is executed to determine the grid position where the user reports each MRO data based on the MRO data reported by the user, it is necessary to establish an association relationship between the MRO data and the MRE data in order to determine the grid position where the user reports each MRO data in the selected MRE data.

In specific implementation, the association relationship between the MRO data and the MRE data is established, and the association relationship between the MRO data and the MRE data may be established based on the parameter identifier corresponding to the MRE data and the parameter identifier corresponding to the MRO data, where the parameter identifier includes one or more of the following: cell identification, reporting time and identification of user equipment connecting with an S1 interface.

For example, after the parameter identifier of each MRO data and the parameter identifier of each MRE data selected in step S102 are extracted, the association relationship between the MRO data and the MRE data may be established, where the cell identifiers are the same, the identifiers of the interfaces connecting the user equipment to the S1 are the same, and the reporting time difference is smaller than the preset threshold. The preset threshold may be set according to an empirical value, for example: for 120 seconds.

In specific implementation, after the association relationship between the MRO data and the MRE data is established, when the grid position where the user reports each MRE data in the MRE data selected in step S102 is determined, the grid position of the MRO data associated with each MRE data may be used as the grid position of the MRE data.

In other embodiments of the present invention, after the established association relationship between the MRO data and the MRE data is established, when the user reports the grid position of each MRE data in the MRE data selected in step S102, the grid position of the MRE data may also be determined according to the grid position of the MRO data associated with each MRE data and the difference between the reporting times of the MRO data and the MRE data.

And step S105, determining that the area where the grid position is located is a weak coverage area when determining that the number of the users who report the MRE data triggered by the target redirection event in any grid position meets the preset condition in the grid positions where the users report each MRE data.

In specific implementation, whether the area where the grid position is located is a weak coverage area may be determined by using any one of the following two implementation manners, specifically:

in the first embodiment, in the grid position of each MRE data determined in step S104, the total number of users in each grid position and the number of users reporting the MRE data triggered by the target redirection event are counted, and when it is determined that the ratio of the number of users reporting the MRE data triggered by the target redirection event in any grid position to the total number of users is greater than a first preset ratio threshold, the area where the grid position is located is determined to be a weak coverage area.

The first preset proportion threshold may be set according to an empirical value, for example, the first preset proportion threshold is 2 times of the average value of the whole network.

In specific implementation, when counting the total Number of users in each grid position, the counting may be performed by counting non-duplicate International Mobile Subscriber identity numbers (IMSIs) in each grid position according to the MR data obtained in step S101. Counting the number of the users reporting the MRE data triggered by the target redirection event in each grid position, and counting the number of the users reporting the MRE data triggered by the target redirection event in each grid position according to the result of the step S104 by counting the unrepeated IMSI.

Note that, the preset conditions adopted in the present embodiment are: the ratio of the number of the users reporting the MRE data to the total number of the users triggered by the target redirection event is larger than a first preset ratio threshold. In specific implementation of this embodiment, it may also be configured to count only the total number of users in each grid position within a preset time period and the number of users triggered to report MRE data by the target redirection event, and then determine that the area where the grid position is located is a weak coverage area when determining that the ratio of the number of users triggered to report MRE data by the target redirection event in any grid position to the total number of users is greater than a first preset ratio threshold.

In the second embodiment, in the grid position of each MRE data determined in step S104, the total number of users in each grid position and the number of users whose number of times of reporting MRE data triggered by the target redirection event is greater than the preset number threshold in the preset time duration are counted, and the number of users whose number of times of reporting MRE data triggered by the target redirection event is greater than the preset number threshold in the preset time duration in any grid position is determined, and when the percentage of the total number of users is greater than the second preset ratio threshold, the area where the grid position is located is determined to be a weak coverage area.

The second preset proportion threshold may be set according to an empirical value, for example, the second preset proportion threshold is 2 times of the average value of the whole network. The preset time length and the preset time threshold value can be set according to experience values, for example, the preset time length is 5 minutes, and the preset time threshold value is 3 times.

In specific implementation, when counting the total number of users in each grid position, the statistics may be performed by counting the non-repeated IMSIs in each grid position according to the MR data obtained in step S101. Counting the number of users whose number of times of MRE data reporting triggered by the target redirection event is greater than the preset number threshold within the preset time, and counting the number of users whose number of times of MRE data reporting triggered by the target redirection event is greater than the preset number threshold within the preset time by counting the non-repeated IMSI in the users whose number of times of MRE data reporting triggered by the target redirection event is greater than the preset number threshold within the preset time according to the result of step S104.

It should be noted that the preset conditions adopted in this embodiment are as follows: and triggering the number of the users reporting the MRE data by the target redirection event within the preset time length, wherein the number of the users is larger than a preset number threshold, and the ratio of the total number of the users is larger than a second preset ratio threshold. In the specific implementation of the embodiment, the total number of users in each grid position in a preset time period and the number of users whose number of times of reporting MRE data triggered by the target redirection event is greater than the preset number threshold in the preset time period may be counted only, then the number of users whose number of times of reporting MRE data triggered by the target redirection event is greater than the preset number threshold in the preset time period in any grid position is determined, and when the proportion of the total number of users is greater than the second preset proportion threshold, the area in which the grid position is located is determined to be a weak coverage area.

Based on the same inventive concept, the embodiment of the invention also provides a device for determining the weak coverage area.

As shown in fig. 2, an apparatus for determining a weak coverage area according to an embodiment of the present invention includes:

an obtaining module 201, configured to obtain measurement report MR data reported by a user, where the MR data includes measurement report MRO data and event-triggered measurement report MRE data.

A selecting module 202, configured to select a target redirection event from the MRE data reported by the user to trigger reporting of the MRE data.

And the positioning module 203 is configured to determine, based on the MRO data reported by the user, a grid position where the user reports each MRO data.

The processing module 204 is configured to determine, by using a pre-established association relationship between the MRO data and the MRE data, a grid position where the user reports each MRE data in the selected MRE data.

The determining module 205 is configured to determine, in the determined grid positions where the users report each MRE data, that the area where the grid position is located is a weak coverage area when determining that the number of users reporting the MRE data triggered by the target redirection event in any grid position meets a preset condition.

In one possible implementation, the target redirection event comprises: redirection events caused by data traffic in the a2 event.

In a possible implementation, the selecting module 202 is specifically configured to: acquiring a blind redirection threshold value corresponding to each MRE data; selecting MRE data reported triggered by an A2 event from MRE data reported by a user; and selecting MRE data, of which Reference Signal Received Power (RSRP) is smaller than a blind redirection threshold value corresponding to the MRE data, from the selected MRE data reported by triggering of the A2 event as the MRE data reported by triggering of the target redirection event.

In a possible implementation, the selecting module 202 is specifically configured to: extracting a cell identifier corresponding to the MRE data and the reporting time of the MRE data; and acquiring a blind redirection threshold value corresponding to the cell identifier at the reporting time from the operation maintenance center OMC based on the cell identifier and the reporting time, and using the blind redirection threshold value as a blind redirection threshold value corresponding to the MRE data.

In a possible implementation, the positioning module 203 is specifically configured to: and determining the grid position of each MRO data reported by the user by utilizing a fingerprint positioning algorithm based on the MRO data reported by the user.

In a possible implementation, the processing module 204 is specifically configured to: establishing an incidence relation between the MRO data and the MRE data based on the parameter identification corresponding to the MRE data and the parameter identification corresponding to the MRO data, wherein the parameter identification comprises one or more of the following: cell identification, reporting time and identification of user equipment connecting with an S1 interface.

In a possible implementation, the determining module 205 is specifically configured to: in the determined grid positions where the users report each MRE data, counting the total number of the users in each grid position and the number of the users reporting the MRE data triggered by the target redirection event; and when the proportion of the number of the users, triggered to report the MRE data by the target redirection event, in any grid position in the total number of the users is larger than a first preset proportion threshold value, determining that the area where the grid position is located is a weak coverage area.

In a possible implementation, the determining module 205 is specifically configured to: in the determined grid positions where the users report each MRE data, counting the total number of the users in each grid position and the number of the users triggered by the target redirection event to report the MRE data within the preset time length, wherein the number of the users is larger than a preset number threshold; and determining the number of users whose MRE data reporting times are triggered by the target redirection event within a preset time length in any grid position and are greater than a preset time threshold, and determining the area where the grid position is located as a weak coverage area when the proportion of the total number of users is greater than a second preset proportion threshold.

In addition, the method for determining the weak coverage area in the embodiment of the present invention described in conjunction with fig. 1-2 may be implemented by a device for determining the weak coverage area. Fig. 3 is a schematic diagram illustrating a hardware structure of a device for determining a weak coverage area according to an embodiment of the present invention.

The weak coverage area determining device may comprise a processor 301 and a memory 302 storing computer program instructions.

In particular, the processor 301 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured as one or more Integrated circuits implementing embodiments of the present invention.

Memory 302 may include mass storage for data or instructions. By way of example, and not limitation, memory 302 may include a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, tape, or Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 302 may include removable or non-removable (or fixed) media, where appropriate. The memory 302 may be internal or external to the data processing apparatus, where appropriate. In a particular embodiment, the memory 302 is a non-volatile solid-state memory. In a particular embodiment, the memory 302 includes Read Only Memory (ROM). Where appropriate, the ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), electrically rewritable ROM (EAROM), or flash memory or a combination of two or more of these.

The processor 301 implements any of the weak coverage area determination methods in the above embodiments by reading and executing computer program instructions stored in the memory 302.

In one example, the weak coverage area determination device may also include a communication interface 303 and a bus 310. As shown in fig. 3, the processor 301, the memory 302, and the communication interface 303 are connected via a bus 310 to complete communication therebetween.

The communication interface 303 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiment of the present invention.

Bus 310 comprises hardware, software, or both to couple the components of the determining device of the weak coverage area to each other. By way of example, and not limitation, a bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hypertransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus or a combination of two or more of these. Bus 310 may include one or more buses, where appropriate. Although specific buses have been described and shown in the embodiments of the invention, any suitable buses or interconnects are contemplated by the invention.

The device for determining a weak coverage area may execute the method for determining a weak coverage area in the embodiment of the present invention based on the acquired MR data reported by the user, so as to implement the method for determining a weak coverage area described with reference to fig. 1 to fig. 2.

In addition, in combination with the method for determining the weak coverage area in the foregoing embodiment, the embodiment of the present invention may be implemented by providing a computer-readable storage medium. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the above described embodiments of the method of determining a weak coverage area.

It is to be understood that the invention is not limited to the specific arrangements and instrumentality described above and shown in the drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present invention are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions or change the order between the steps after comprehending the spirit of the present invention.

The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.

It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.

As described above, only the specific embodiments of the present invention are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present invention, and these modifications or substitutions should be covered within the scope of the present invention.

Claims

1. A method for determining a weak coverage area, the method comprising:

acquiring measurement report MR data reported by a user, wherein the MR data comprises measurement report MRO data and event-triggered measurement report MRE data;

selecting MRE data reported by triggering a target redirection event from MRE data reported by a user;

and determining that the area where the grid position is located is a weak coverage area when the number of the MRE data triggered and reported by the target redirection event in any grid position meets a preset condition in the determined grid positions where the users report each MRE data.

2. The method of claim 1, wherein the target redirection event comprises: redirection events caused by data traffic in the a2 event.

3. The method as claimed in claim 2, wherein said selecting MRE data reported by triggering of a target redirection event from MRE data reported by a user comprises:

acquiring a blind redirection threshold value corresponding to each MRE data;

selecting MRE data reported triggered by an A2 event from MRE data reported by a user;

and selecting MRE data, of which Reference Signal Received Power (RSRP) is smaller than a blind redirection threshold value corresponding to the MRE data, from the selected MRE data reported by triggering of the A2 event as the MRE data reported by triggering of the target redirection event.

4. The method of claim 3, wherein the obtaining the blind redirection threshold value corresponding to each MRE data comprises:

extracting a cell identifier corresponding to MRE data and the reporting time of the MRE data;

and acquiring a blind redirection threshold value corresponding to the cell to which the cell identifier belongs at the reporting time from an Operation Maintenance Center (OMC) based on the cell identifier and the reporting time, and taking the blind redirection threshold value as a blind redirection threshold value corresponding to the MRE data.

5. The method of claim 1, wherein the determining, based on the MRO data reported by the user, a grid position where the user reports each MRO data comprises:

and determining the grid position of each MRO data reported by the user by utilizing a fingerprint positioning algorithm based on the MRO data reported by the user.

6. The method according to claim 1, wherein before determining the grid position where the user reports each MRE data in the selected MRE data by using the pre-established association relationship between the MRO data and the MRE data, the method further comprises:

establishing an incidence relation between the MRO data and the MRE data based on the parameter identification corresponding to the MRE data and the parameter identification corresponding to the MRO data, wherein the parameter identification comprises one or more of the following: cell identification, reporting time and identification of user equipment connecting with an S1 interface.

7. The method of claim 1, wherein the determining that the area where the grid position is located is a weak coverage area when determining that the number of users of the MRE data triggered and reported by the target redirection event in any grid position satisfies a preset condition in the determined grid positions where the users report each MRE data comprises:

in the determined grid positions where the users report each MRE data, counting the total number of the users in each grid position and the number of the users of the MRE data which are triggered and reported by the target redirection event;

and when the ratio of the number of the users of the MRE data triggered and reported by the target redirection event in any grid position to the total number of the users is larger than a first preset ratio threshold value, determining that the area where the grid position is located is a weak coverage area.

8. The method according to claim 1, wherein the determining that the area where the grid position is located is a weak coverage area when determining that the number of users of MRE data triggered and reported by a target redirection event in any grid position meets a preset condition in the grid positions where the determined users report each MRE data includes:

in the determined grid positions where the users report each MRE data, counting the total number of the users in each grid position and the number of the users, triggered and reported by the target redirection event, of the MRE data in a preset time length, wherein the number of the users is larger than a preset number threshold;

determining the number of users of which the number of times of MRE data reported by triggering of a target redirection event in a preset time length in any grid position is greater than a preset time threshold, and determining that the area where the grid position is located is a weak coverage area when the percentage of the total number of users is greater than a second preset proportion threshold.

9. An apparatus for determining a weak coverage area, the apparatus comprising:

the selection module is used for selecting MRE data reported by triggering a target redirection event from the MRE data reported by the user;

and the determining module is used for determining that the area where the grid position is located is a weak coverage area when the number of the MRE data triggered and reported by the target redirection event in any grid position meets a preset condition in the determined grid positions.

10. A weak coverage area determination device, comprising: at least one processor, at least one memory, and computer program instructions stored in the memory that, when executed by the processor, implement the method of any of claims 1-8.

11. A computer-readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the method of any one of claims 1-8.