CN108235345B - Method and device for determining low-quality area in cell - Google Patents
Method and device for determining low-quality area in cell Download PDFInfo
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- CN108235345B CN108235345B CN201611200920.3A CN201611200920A CN108235345B CN 108235345 B CN108235345 B CN 108235345B CN 201611200920 A CN201611200920 A CN 201611200920A CN 108235345 B CN108235345 B CN 108235345B
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Abstract
The invention aims to provide a method and a device for determining a low-quality area in a cell. The network analysis system determines a low-quality cell and determines low-quality mobile terminals in the low-quality cell, and if the number of the low-quality mobile terminals falling in a region of the low-quality cell exceeds a threshold value, the region is determined to be a low-quality region in the low-quality cell. Compared with the prior art, the invention further determines the low-quality area in the low-quality cell by acquiring various data sources. This enables operators to locate accurately low quality areas in a cell, thus enabling deeper sensing of cell status and further targeted network optimization.
Description
Technical Field
The present invention relates to the field of mobile communication technologies, and in particular, to a technique for determining a low quality area in a cell.
Background
The current LTE network analysis system can detect a low-quality cell by analyzing a KPI (Key Performance Indicator) of the cell. For example, the system presets a threshold value, and if the KPI of a cell is below the threshold value, the cell is a low quality cell.
However, there are difficulties for the operator how to locate which area in the cell is a low quality area.
This is because, first, it is not accurate to detect low quality cells using only KPIs. Also, the operator can only know the low quality cell, but cannot know which area in the cell is the low quality area. Clearly, it is difficult to find a solution to this problem by locating only low quality cells.
Disclosure of Invention
The invention aims to provide a method and a device for determining a low-quality area in a cell.
According to an aspect of the present invention, there is provided a method for determining a low quality region in a cell, wherein the method comprises the steps of:
a, determining a low-quality cell;
b determining a low quality mobile terminal in the low quality cell;
c if the number of the low-quality mobile terminals falling in a region of the low-quality cell exceeds a threshold value, determining the region as a low-quality region in the low-quality cell.
According to an aspect of the present invention, there is also provided an apparatus for determining a low quality region in a cell, wherein the apparatus comprises:
cell determining means for determining a low quality cell;
terminal determining means for determining a low quality mobile terminal in the low quality cell;
area determination means for determining an area of the low-quality cell as a low-quality area if the number of the low-quality mobile terminals falling within the area exceeds a threshold.
Compared with the prior art, the invention further determines the low-quality area in the low-quality cell by acquiring various data sources. This enables operators to locate accurately low quality areas in a cell, thus enabling deeper sensing of cell status and further targeted network optimization. Obviously, this improves the user experience at the same time.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings:
fig. 1 shows a deployment diagram of an LTE network analysis system according to an embodiment of the invention;
fig. 2 shows a flow diagram of a method for determining a low quality area in a cell according to one embodiment of the invention;
fig. 3 shows a schematic diagram of a low quality area in a cell according to an example of the invention;
fig. 4 shows a schematic diagram of an apparatus for determining a low quality region in a cell according to an embodiment of the invention.
The same or similar reference numbers in the drawings identify the same or similar elements.
Detailed Description
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations as a sequential process, many of the operations can be performed in parallel, concurrently, or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
The methodologies discussed hereinafter, some of which are illustrated by flow diagrams, may be implemented by hardware, software, firmware, middleware, microcode, hardware description languages, or any combination thereof. When implemented in software, firmware, middleware or microcode, the program code or code segments to perform the necessary tasks may be stored in a machine or computer readable medium such as a storage medium. The processor(s) may perform the necessary tasks.
Specific structural and functional details disclosed herein are merely representative and are provided for purposes of describing example embodiments of the present invention. The present invention may, however, be embodied in many alternate forms and should not be construed as limited to only the embodiments set forth herein.
It will be understood that, although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element may be termed a second element, and, similarly, a second element may be termed a first element, without departing from the scope of example embodiments. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may be present. In contrast, when an element is referred to as being "directly connected" or "directly coupled" to another element, there are no intervening elements present. Other words used to describe the relationship between elements (e.g., "between" versus "directly between", "adjacent" versus "directly adjacent to", etc.) should be interpreted in a similar manner.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used herein, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be noted that, in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed substantially concurrently, or the figures may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
The present invention is described in further detail below with reference to the attached drawing figures.
The invention provides a scheme for accurately positioning a low-quality area in a cell.
Fig. 1 shows an LTE network analysis system deployed in an operator network.
Referring to fig. 1, an LTE network analysis system obtains required analysis source data from a DPI (Deep Packet Inspection) and an OMC (Operation and Maintenance Center), respectively.
The DPI acquires information such as a base station (ENodeB) and a user from an S1-MME interface between an E-UTRAN (evolved universal terrestrial radio access network) and an MME (Mobility Management Entity), acquires user subscription information from an S6a interface between the MME and an HSS (Home Subscriber Server), and acquires user access data such as access time, duration, uplink and downlink traffic, a total number of packets, a number of lost packets, and the like from an S1-U interface between the E-UTRAN and an SGW (Serving GateWay).
The OMC acquires a Measurement Report (MR) of the mobile terminal and the cell from the ENodeB.
The LTE network analysis system acquires an XDR (External Data Representation) call ticket generated by the LTE network analysis system from the DPI in an FTP mode, wherein the XDR call ticket comprises a signaling call ticket and a Data call ticket so as to calculate KPI indexes of a cell and a mobile terminal, and acquires measurement report Data of the mobile terminal from an OMC in the FTP mode.
Fig. 2 shows a flow chart of a method according to an embodiment of the invention, in which a procedure for determining a low quality area in a cell is specifically shown.
As shown in fig. 2, in step S1, the LTE network analysis system determines a low quality cell; in step S2, the LTE network analysis system determines a low quality mobile terminal in the low quality cell; in step S3, if the number of the low-quality mobile terminals falling within an area of the low-quality cell exceeds a threshold, the LTE network analysis system determines that the area is a low-quality area in the low-quality cell.
Specifically, in step S1, the LTE network analysis system determines a low quality cell.
For example, the LTE network analysis system may determine a low quality cell from KPI analysis of the cell. The LTE network analysis system calculates each KPI based on the call ticket data of each cell obtained from the DPI. Here, the KPI indicator used for determining the low-quality cell includes, for example, a packet loss rate, a delay, a data rate, and the like.
The LTE network analysis system can set corresponding threshold values for various KPI indexes. For example, when the packet loss rate and the delay of a cell exceed predetermined thresholds and the data rate is lower than the predetermined thresholds, the LTE network analysis system may determine that the cell is a low quality cell. Each of these thresholds may be configured differently.
In step S2, the LTE network analysis system determines a low quality mobile terminal in the low quality cell.
For example, the LTE network analysis system may determine that a mobile terminal is a low-quality mobile terminal according to KPI indicators of mobile terminals in a current low-quality cell, including packet loss rate, delay, data rate, and the like, specifically, when the packet loss rate and the delay of one of the mobile terminals exceed a predetermined threshold and the data rate is lower than the predetermined threshold. These thresholds may also be configured differently.
In step S3, if the number of low quality mobile terminals falling within an area of a low quality cell exceeds a threshold, the LTE network analysis system determines that the area is a low quality area in the low quality cell.
The threshold of the number of low-quality mobile terminals may be set according to a specific application scenario, and the threshold set to 3 is exemplified below.
In the present invention, the low quality area in a cell is often defined/expressed by the angular range it covers. It will be understood by those skilled in the art that such limitations are for the purpose of illustrating the invention only and should not be construed as limiting the invention in any way.
The angular range to which the low quality mobile terminal belongs may be determined by the antenna angle of arrival and the advanced time of arrival. According to the measurement report of a low-quality mobile terminal obtained from the OMC, the LTE network analysis system may obtain an Antenna angle of arrival (AOA) and an advanced Time of arrival (Tadv) of the low-quality mobile terminal, where the AOA is used to determine the position of the mobile terminal and the Tadv is used to determine the distance between the mobile terminal and the base station.
Here, the determination manner of the low quality region may include a static manner and/or a dynamic manner.
1) Static mode
A cell may be divided into a plurality of regions, each covering a certain angular range, for example, 4 regions in conjunction with fig. 3. The division of the areas in the cell may be configured differently.
For example, when detecting that the number of low quality mobile terminals in the current low quality cell exceeds 3, and at least 3 low quality mobile terminals belong to a region of the current low quality cell, such as region 2 (e.g., the angle range is [0-90] degrees), the LTE network analysis system regards the region 2 as the low quality region of the current cell.
2) Dynamic mode
For example, when detecting that the number of low quality mobile terminals in the current low quality cell exceeds 3, the LTE network analysis system regards the angle range formed by all the low quality mobile terminals as the low quality area of the current cell, and refer to fig. 3, such as area 2.
Alternatively, the LTE network analysis system may determine the low quality region only according to an angle range in which 3 or more low quality mobile terminals constitute.
3) Combining static mode with dynamic mode
For example, the number of low quality mobile terminals in the current low quality cell exceeds 3, but at least 3 of the low quality mobile terminals are not located in a pre-divided area of the cell, for example, in a static manner, and then the LTE network analysis system uses the angle range formed by all the low quality mobile terminals as the low quality area of the current cell in a dynamic manner.
Fig. 4 shows a schematic diagram of an apparatus according to an embodiment of the invention, in which an analysis apparatus for determining low quality areas in a cell is specifically shown. The analysis device can be used as an independent functional module to be deployed in an LTE network analysis system, and the LTE network analysis system is deployed in an operator network.
Referring to fig. 4, the analysis device specifically includes a cell determination device 11, a terminal determination device 12, and an area determination device 13.
Specifically, the cell determination means 11 determines a low quality cell; then, the terminal determining means 12 determines a low quality mobile terminal in the low quality cell; subsequently, if the number of the low-quality mobile terminals falling within an area of the low-quality cell exceeds a threshold, the area determination means 13 determines that the area is a low-quality area in the low-quality cell.
Specifically, the cell determination means 11 determines a low quality cell.
For example, the cell determination means 11 may determine a low quality cell from KPI analysis of cells. The cell determination means 11 calculates its respective KPI index based on the ticket data of each cell obtained from the DPI. Here, the KPI indicator used for determining the low-quality cell includes, for example, a packet loss rate, a delay, a data rate, and the like.
The cell determining apparatus 11 may set corresponding threshold values for each KPI index. For example, when the packet loss rate and the delay of a cell exceed predetermined thresholds and the data rate is lower than the predetermined thresholds, the cell determining apparatus 11 may determine that the cell is a low quality cell. Each of these thresholds may be configured differently.
Subsequently, the terminal determining means 12 determines a low quality mobile terminal in the low quality cell.
For example, the terminal determining apparatus 12 may determine, according to KPI indicators of mobile terminals in the current low-quality cell, that include packet loss rate, time delay, data rate, and the like, specifically, when the packet loss rate and the time delay of one of the mobile terminals exceed a predetermined threshold and the data rate is lower than the predetermined threshold, the terminal determining apparatus 12 may determine that the mobile terminal is a low-quality mobile terminal. These thresholds may also be configured differently.
Then, if the number of low quality mobile terminals falling within a region of a low quality cell exceeds a threshold, the region determining means 13 determines that the region is a low quality region in the low quality cell.
The threshold of the number of low-quality mobile terminals may be set according to a specific application scenario, and the threshold set to 3 is exemplified below.
In the present invention, the low quality area in a cell is often defined/expressed by the angular range it covers. It will be understood by those skilled in the art that such limitations are for the purpose of illustrating the invention only and should not be construed as limiting the invention in any way.
The angular range to which the low quality mobile terminal belongs may be determined by the antenna angle of arrival and the advanced time of arrival. Based on the measurement report of a low quality mobile terminal obtained from the OMC, the area determining device 13 can obtain the antenna arrival angle AOA and the advanced arrival time Tadv of the low quality mobile terminal, where AOA is used for determining the direction in which the mobile terminal is located, and Tadv is used for determining the distance between the mobile terminal and the base station.
Here, the determination manner of the low quality region may include a static manner and/or a dynamic manner.
1) Static mode
A cell may be divided into a plurality of regions, each covering a certain angular range, for example, 4 regions in conjunction with fig. 3. The division of the areas in the cell may be configured differently.
For example, when it is detected that the number of low quality mobile terminals in the current low quality cell exceeds 3, and at least 3 low quality mobile terminals belong to a region of the current low quality cell, such as region 2 (e.g., the angle range is [0-90] degrees), the region determining means 13 regards the region 2 as the low quality region of the current cell.
2) Dynamic mode
For example, when detecting that the number of low quality mobile terminals in the current low quality cell exceeds 3, the area determining device 13 regards the angle range formed by all the low quality mobile terminals as the low quality area of the current cell, as shown in fig. 3, i.e. area 2.
Alternatively, the LTE network analysis system may determine the low quality region only according to an angle range in which 3 or more low quality mobile terminals constitute.
3) Combining static mode with dynamic mode
For example, the number of low quality mobile terminals in the current low quality cell exceeds 3, but at least 3 of the low quality mobile terminals are not located in a pre-divided region of the cell as in a static manner, and the region determining means 13 uses the angle range formed by all the low quality mobile terminals as the low quality region of the current cell in a dynamic manner.
It is noted that the present invention may be implemented in software and/or in a combination of software and hardware, for example, the various means of the invention may be implemented using Application Specific Integrated Circuits (ASICs) or any other similar hardware devices. In one embodiment, the software program of the present invention may be executed by a processor to implement the steps or functions described above. Also, the software programs (including associated data structures) of the present invention can be stored in a computer readable recording medium, such as RAM memory, magnetic or optical drive or diskette and the like. Further, some of the steps or functions of the present invention may be implemented in hardware, for example, as circuitry that cooperates with the processor to perform various steps or functions.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware.
Claims (8)
1. A method for determining a low quality region in a cell, wherein the method comprises the steps of:
a, determining a low-quality cell;
b determining a low quality mobile terminal in the low quality cell;
c if the number of the low-quality mobile terminals falling into a region of the low-quality cell exceeds a threshold value, determining the region as a low-quality region in the low-quality cell;
wherein, when the number of the low-quality mobile terminals exceeds the threshold, an angular range formed by the low-quality mobile terminals at least reaching the threshold is taken as the area.
2. The method according to claim 1, wherein said step a determines said low quality cell based on KPI analysis of cells.
3. The method according to claim 1, wherein said step b determines said low quality mobile terminals based on KPI analysis of mobile terminals in said low quality cell.
4. The method according to any one of claims 1 to 3, wherein the method further comprises the steps of:
-determining an angle range to which the low quality mobile terminal belongs, based on an antenna angle of arrival of the low quality mobile terminal.
5. An apparatus for determining a low quality region in a cell, wherein the apparatus comprises:
cell determining means for determining a low quality cell;
terminal determining means for determining a low quality mobile terminal in the low quality cell;
region determining means for determining a region of the low quality cell as a low quality region if the number of the low quality mobile terminals falling within the region exceeds a threshold;
wherein, when the number of the low-quality mobile terminals exceeds the threshold, an angular range formed by the low-quality mobile terminals at least reaching the threshold is taken as the area.
6. The apparatus of claim 5, wherein the low quality cell is determined from a KPI analysis of a cell.
7. The apparatus of claim 5, wherein the low quality mobile terminal is determined from a KPI analysis of mobile terminals in the low quality cell.
8. The apparatus of any one of claims 5 to 7, wherein the apparatus further comprises:
and the angle determining device is used for determining the angle range of the low-quality mobile terminal according to the antenna arrival angle of the low-quality mobile terminal.
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