CN108271196B - Method, equipment and system for positioning high-level signal drift - Google Patents

Abstract

The application relates to a method, equipment and a system for positioning high-level signal drift, wherein the method comprises the following steps: extracting all user data during a time period when most users are indoors; determining the existence of frequently switched IMSIs, and filtering the IMSIs related to the outdoor users; for IMSIs with frequent switching, determining the nearest indoor sub-cell in time; and determining the building matched with the indoor sub-cell as the building with high-rise signal drift.

Description

Method, equipment and system for positioning high-level signal drift

Technical Field

The present application relates to the field of wireless communications, and more particularly, to a method, device and system for locating a drift of a higher layer signal.

Background

Signal drift is a phenomenon in which, in the repeated coverage area of a plurality of base stations, a signal is switched back and forth between the plurality of base stations, thereby causing signal instability, which is more obvious in the high-rise performance of a building.

In the process of high-speed urbanization, high-rise buildings in cities are increased. The coverage is generally controlled by controlling the inclination angle of an antenna because the common macro network cell needs to simultaneously meet the requirements of the pavement and the bottom coverage and control the cross-area coverage. Meanwhile, in the construction of a distribution system, especially in a residential area, due to the limitation of owner resistance and cost, most antennas cannot enter the home, and the 4G has the characteristic of high-frequency high attenuation, so that the coverage of the distribution system at the edge of the building is insufficient, and finally, no master control is carried out at the high level of the house, and weak coverage interference is caused.

There is a lack of methods for effectively monitoring and locating high-level signal drift. In practice, positioning is typically done by field testing, which is inefficient.

Disclosure of Invention

The method can accurately locate the building with the high-rise signal drift by analyzing the IMSI with frequent switching.

According to an aspect of the present application, there is provided a method for locating a drift of a higher layer signal, comprising: extracting all user data during a time period when most users are indoors; determining the existence of frequently switched IMSIs, and filtering the IMSIs related to the outdoor users; for IMSIs with frequent switching, determining the nearest indoor sub-cell in time; and determining the building matched with the indoor sub-cell as the building with high-rise signal drift.

According to another aspect of the present application, there is provided a system for locating high layer signal drift, comprising: the extraction module is used for extracting all user data during a time period when most users are indoors; the filtering module is used for determining the existence of the frequently switched IMSI and filtering the IMSI related to the outdoor user; the first determining module is used for determining a nearest indoor sub-cell in time for the IMSI with frequent switching; and the second determination module is used for determining that the building matched with the indoor sub-cell is a building with high-rise signal drift.

According to another aspect of the present application, there is provided an apparatus for locating a drift of a higher layer signal, comprising: a processor; and a memory for storing a program; when the processor executes the program, the following method is performed: extracting all user data during a time period when most users are indoors; determining the existence of frequently switched IMSIs, and filtering the IMSIs related to the outdoor users; for frequently switched IMSIs, determining the nearest indoor sub-cell in time; and determining the building matched with the indoor sub-cell as the building with high-rise signal drift.

Based on the method, the equipment and the system, the buildings with high-rise signal drift can be positioned by analyzing the IMSI with frequent switching, and the problem can be solved in a targeted manner.

Drawings

The above aspects and other aspects of the present application will become more apparent from the following detailed description of exemplary embodiments, with reference to the attached drawings, in which:

fig. 1 illustrates a mobile operator LTE signaling acquisition parsing flow and interface, in accordance with one or more embodiments;

fig. 2 is an exemplary diagram illustrating a process for determining a short camp handoff in accordance with one or more embodiments;

FIG. 3 illustrates a flow diagram of a method 200 for locating high level signal drift, in accordance with one or more embodiments;

FIG. 4 illustrates a block diagram of an apparatus 300 for locating high-level signal drift, in accordance with one or more embodiments;

fig. 5 shows an exemplary example of data related to high layer frequent handovers.

Detailed Description

Features and exemplary embodiments of various aspects of the present invention will be described in detail below. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. It will be apparent, however, 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. The present invention is in no way limited to any specific configuration and algorithm set forth below, but rather covers any modification, replacement or improvement of elements, components or algorithms without departing from the spirit of the invention. In the drawings and the following description, well-known structures and techniques are not shown in order to avoid unnecessarily obscuring the present invention.

The LTE XDR data is collected and parsed according to the XDR interface specification of the mobile operator. In fig. 1, an interface of a unified DPI technical specification-LTE signaling acquisition and analysis server for china mobile is shown.

Here, the technical solution of the present application is mainly directed to analysis and application of data after S1-MME signaling plane acquisition. In fig. 1, the interfaces and processes involved in the acquisition and analysis of the data are marked by arrows shown in dashed lines.

The information of the acquisition fields, types, definitions and the like related in the scheme is shown in the following table:

TABLE 1S 1-Specifications and meanings of MME Collection fields

Wherein, the definition of the specification and the value of the field Procedure Type is as follows:

table 2: description of flow type values

An example of the S1-MME XDR data collection and analysis results is as follows:

TABLE 3S 1-MME XDR data acquisition and analysis results

In the problem of high-level signal drift, the signals occupied by the UE are large, weak, noisy and disorderly, and the level change amplitude is large and the speed is high, so that the UE switches frequently between the cells and the residence time is relatively short. This is reflected in XDR signaling, which is the frequent handover of the same UE between different cells. Therefore, by analyzing XDR user data in a specific time period (e.g. 23 to 24), finding out problem cells and corresponding IMSIs for frequent switching, and then by matching user behavior characteristics, filtering out outdoor users, it is possible to count problem cells and corresponding IMSIs that generate frequent switching in a residential building, and then matching out indoor sub-cells in the cells traversed by the IMSI, and the residential building matched with the indoor sub-cells is the residential building with high-rise drift problem. In this way, it is possible to accurately locate which residential buildings have frequent switching. In addition, a list of cells that generate problems can be associated for rapid analysis and resolution of subsequent problems.

Fig. 2 is an exemplary diagram illustrating a process for determining a short camp handover, in accordance with one or more embodiments. The process of determining a short camp handoff is described below in conjunction with fig. 2.

In the result of the number resolution of XDR data, the user (IMSI) has many handovers (procedure of 14 or 16 in table) during the whole service request to release. Each handover to a cell results in a dwell TIME for that cell, which is obtained by subtracting the END _ TIME of the last handover from the START _ TIME of the next handover. And if the residence time is less than a certain specific time, determining that the switching is short residence switching.

By performing recursive query and statistics on the camped cell for each user handover event, a list of short camped handover cells for the IMSI of the user can be obtained by statistics, which is given in table 4.

Table 4 subscriber IMSI short dwell handover cell list

For example, when the service of the user is initiated from a, and is switched to B and then switched to C, as long as the duration of the user in B is less than t seconds (t is a threshold for determining whether the handover is a short-dwell handover), it is counted as a short-dwell handover and recorded as IMSI-a-B-C-1, where IMSI is the international mobile subscriber identity of the user. When other users (IMSI ') also have such a handover between ABC, IMSI' -A-B-C-1 is also recorded, and therefore the final recorded result is A-B-C-2. If the user's switching order is A-B-C-D, assuming the duration at C is less than t seconds, it is recorded as B-C-D-1. And by analogy, determining the short residence switching cell pair of the whole network: CELL1-CELL2-CELL3-OftenHoNum, where OftenHoNum represents the total number of short dwell switches experienced by all users of the entire network from CELL1-CELL2-CELL 3. When OftenHoNum is not less than a certain value, CELL2 is determined as a CELL with frequent handovers.

And on the basis of determining the short residence switching, associating the out-of-room sub-cells by matching the characteristics of the users positioned at the high level of the residence in time and space, thereby positioning the residential building with the problem of high-level signal drift.

Time period selection: the time period in which most users have come home and are indoors is selected for data collection and analysis. Through analysis of call statistical data of the province of Fujian province and the province of Fujian province, the number of users in the whole network is more than half of the number of users in busy hours all day in two time periods from 23 to 24 and from 0 to 1, and the absolute number of users return home at the time, so that the data in the two time periods have statistical analysis value.

And (3) filtering outdoor users: during late night periods, there are still a small percentage of users on the road rather than indoors, and there is a need to filter such users. The number of different cells traversed by the IMSI (a single cell handed over multiple times is denoted as a cell) can be counted for each subscriber's IMSI by counting the data within a counting period. And when the number of the traversed cells exceeds a certain number, the user corresponding to the IMSI is considered as an outdoor user, and data corresponding to the outdoor user is filtered. In some embodiments, the number may be taken to be 15.

Searching the indoor sub-district and matching with the problem building: because the short residence handover statistics is performed based on the IMSI, the user may traverse the search in the reverse direction in time before the time period of frequent handover by the IMSI of the user, and determine the nearest indoor sub-cell in time, that is, the residential building corresponding to the indoor sub-cell is considered to be the problem residential building that generates frequent handover. This approach is based mainly on current practice situations: from the LTE networking to the present, a high-value residential building with high survival rate is basically distributed, most of users need to pass through a room sub-cell covering the residential building before returning home, and therefore the room sub-cell can be searched and matched with a problem residential building.

After the above data processing, the frequently handed over problem cell and the matched problem point can be output, and are given in table 5:

table 5 problem cells with frequent handovers and matching problem points

Fig. 3 illustrates a schematic diagram of a method 200 for locating high-level signal drift, in accordance with one or more embodiments. This diagram is merely an example, which should not unduly limit the scope of the claims. Those skilled in the art may adapt changes, substitutions and alterations based on the figure. Moreover, certain steps in the method 200 are optional and not required; where feasible, some of the steps do not have to be performed in the order shown in fig. 3, but may be performed in parallel or the order may be changed.

In step 210, all user data during a time period in which most users are indoors is extracted. For example, from the traffic statistic data on the wireless side, the number of active users from 23 to 24 points is more than 80% of the highest peak of the number of active users, and therefore, there is reliability in analyzing and counting the user data in the time period.

In step 220, it is determined that there are frequently handed-off IMSIs, and the IMSIs associated with the outdoor subscriber are filtered. In this process, IMSI data with a number of handovers less than 2 needs to be filtered out (there is no frequent handover). Furthermore, during this time period, the number of cells traversed by the IMSI is greater than a certain number (e.g., 15) of corresponding data, indicating that this portion of data corresponds to an outdoor user and that this portion of data needs to be removed. In some embodiments, exception data may also be removed from the all user data. The abnormal data referred to herein is the portion of data for which the IMSI is empty. Since the IMSI and the subscriber are bound, data with an IMSI empty cannot help the analysis, and needs to be removed.

In step 230, for IMSIs with frequent handovers, the nearest cell in time is determined. After determining that there are frequently handed-over IMSIs, the reverse lookup in time determines the closest cell in time.

In step 240, the building matching the indoor sub-cell is determined to be a building with high-rise signal drift. After determining the building, a list of cells with frequent handover problems and buildings with high-rise signal drift problems may be output.

Fig. 4 illustrates a schematic diagram of a system 300 for locating high-level signal drift, in accordance with one or more embodiments. This diagram is merely an example, which should not unduly limit the scope of the claims. Those skilled in the art may adapt changes, substitutions and alterations based on the figure.

As shown in fig. 4, the system 300 includes an extraction module 310, a filtering module 320, a first determination module 330, and a second determination module 340.

An extraction module 310 for extracting all user data during a time period when a majority of users are indoors.

And a filtering module 320, configured to determine that there are frequently handed-over IMSIs, and filter the IMSIs associated with the outdoor user.

A first determining module 330, configured to determine a nearest cell in time for the IMSI with frequent handovers.

And a second determining module 340, configured to determine that the building matched with the cell is a building in which the high-rise signal drift exists.

An example of the practical application of the method employed in the present application is listed below. An example data for this practice is given in table 6.

Receiving complaints about the problems of bad signals, unsmooth surfing, call drop and network interruption of a high-rise 4G network in a certain high-rise residential area,

according to the method, XDR data from 23 to 24 points in the evening are extracted for processing and analysis, and the fact that short residence switching exists among multiple pairs of cells is found and can be related to corresponding indoor sub-cells.

TABLE 6 example data for practical applications

Fig. 5 shows an exemplary example of data related to high-level frequent handovers, with the results of field testing as shown in fig. 5.

As can be seen from fig. 5, there are a plurality of cells with RSRP levels on the sunny and sunny sides of the cells in the high-rise building, and there are many, noisy, and chaotic signals, and a frequent handover phenomenon occurs in which multiple times of short dwells occur between these cells.

The reason for the problem is that although the residential building is a distributed system, the antenna fails to enter the home, and meanwhile, the spot light cannot cover the sun surface of the cell, so that the UE in the sun surface of the residential building occupies a disordered macro network signal, and the high-rise signal drift causes frequent switching, which affects user experience. Later stages may be considered to be improved by special macro-network tuning.

The above-described method for locating a drift of a higher layer signal can also be implemented by an apparatus. Within the device, a set or series of instructions may be executed to cause the device to perform any of the methods discussed herein, according to an example embodiment. In alternative embodiments, the device operates as a standalone device or may be connected (e.g., networked) to other devices. In a networked deployment, the device may be permitted in the capacity of a server or a client device in a server-client network environment, or it may operate as a peer device in a peer-to-peer (or distributed) network environment. The device may be a mobile communication device (e.g., a cellular handset), a computer, a Personal Computer (PC), a tablet PC, a hybrid tablet, a Personal Digital Assistant (PDA), or any device capable of executing instructions (sequential or otherwise) that specify actions to be taken by that device. Moreover, when only a single device is expressed, the term "device" shall also be taken to include any collection of devices that individually or jointly execute a set (or multiple sets) of instructions to perform any one or more of the methodologies discussed herein. Similarly, the term "processor-based system" should be taken to include any collection of one or more devices operated or managed by a processor (e.g., a computer) to perform, alone or in combination, any one or more of the methodologies discussed herein.

Having described the methods and techniques for implementing the present invention in detail above, it is noted that certain embodiments of the present disclosure may readily comprise a system-on-a-chip (SOC) Central Processing Unit (CPU) package. An SOC represents an Integrated Circuit (IC) that integrates components of a computer or other electronic system into a single chip. It may include digital, analog, mixed signal and radio frequency functions: all of which may be provided on a single chip substrate. Other embodiments may include a multi-chip module (MCM) in which multiple chips are located within a single electronic package and are configured to interact closely with each other through the electronic package. In various other embodiments, the digital signal processing functions may be implemented in one or more silicon cores in Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), and other semiconductor chips. In addition, in various embodiments, the processors, memory, network cards, buses, storage devices, associated peripherals, and other device elements described herein may be implemented by processors, memory, and other associated devices configured by software or firmware to emulate or virtualize the functions of these hardware elements.

In an exemplary implementation, at least some portions of the processing activities listed herein may also be implemented in software. In some embodiments, one or more of these features may be implemented by hardware disposed outside of the elements of the computing device or solidified in any suitable manner to achieve the intended functionality. The various components may include software (or reciprocating software) that can coordinate to achieve the operations listed herein. In other embodiments, these elements may include any suitable algorithms, hardware, software, components, modules, interfaces, or objects that facilitate the operations thereof.

In addition, some components associated with the described microprocessor may be removed or otherwise cured. In a general sense, the structure of a computing device may be more logical in its representation, while a physical architecture may include various permutations, combinations, and/or hybrids of these elements. It is important to note that countless possible design configurations can be used to achieve the operational goals listed herein. Accordingly, the associated infrastructure has a mix of alternative arrangements, design choices, device possibilities, hardware configurations, software implementations, device options, and the like.

Any suitably configured processor component may be capable of executing any type of instructions associated with the data to perform the method steps detailed herein. Any processor disclosed herein may transform an element or object (e.g., data) from one state or thing to another state or thing. In another example, some of the activities listed herein may be implemented by fixed logic or programmable logic (e.g., software and/or computer instructions executed by a processor), and the elements identified herein may be some type of a programmable processor, programmable digital logic (e.g., a Field Programmable Gate Array (FPGA), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM)), an ASIC (including digital logic, software, code, electronic instructions, flash memory, optical disks, CD-ROMs, DVDROMs, magnetic or optical cards, other types of machine-readable media suitable for storing electronic instructions, or any suitable combination thereof. In operation, the processor may store information in any suitable type of non-transitory storage medium (e.g., Random Access Memory (RAM), Read Only Memory (ROM), Field Programmable Gate Array (FPGA), Erasable Programmable Read Only Memory (EPROM), electrically erasable programmable ROM (eeprom), etc.), software, hardware, or any other suitable component, device, element, or object, as appropriate or based on particular needs. Further, information tracked, sent, received, or stored in a processor may be provided in any database, register, table, cache, queue, control list, or storage structure (all of which may be referenced in any suitable timeframe) based on particular needs and implementations. Any memory items discussed herein should be construed as being encompassed within the broad term "memory". Similarly, any possible transducer elements, modules and machines described herein should be construed as being encompassed within the broad term "microprocessor" or "processor".

Computer program logic implementing all or part of the functionality described herein may be embodied in various forms, including, but in no way limited to: source code forms, computer executable forms, and various intermediate forms (e.g., forms generated by an assembler, compiler, linker, or locator). In an example, the source code includes a series of computer program instructions implemented in various programming languages, such as object code, assembly language, or high-level languages, such as OpenCL, Fortran, C + +, JAVA, or HTML, for various operating systems or operating environments. The source code may define and use various data structures and communication messages. The source code may be in computer-executable form (e.g., via an interpreter), or the source code may be converted (e.g., via a translator, assembler, or compiler) into computer-executable form.

In the method, the IMSI with frequent switching is analyzed, the indoor sub-cell which is closest to the time is positioned, and the building with high-rise signal drift is matched, so that the problem of high-rise signal drift is solved in a targeted manner. Based on the above idea and manner, the purpose of the present application is achieved by alternative and/or equivalent embodiments, which should be considered to be within the scope of the present invention.

The preferred embodiments of the present application have been described above, but the embodiments are only illustrative and are not intended to limit the scope of the present application, which is defined by the appended claims and equivalents thereof.

Further, although the present application and its advantages have been described in detail, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the application as defined by the appended claims; moreover, the scope of the present application is not intended to be limited to the particular embodiments of the system, method, and steps described in the specification. As one of ordinary skill in the art will readily appreciate from the disclosure of the present application, methods and processes, presently existing or later to be developed that perform substantially the same function or achieve substantially the same result as the corresponding embodiments described herein may be utilized according to the present application.

Claims (6)

1. A method of locating high layer signal drift, comprising:

extracting all user data during a time period when most users are indoors;

determining that there is an International Mobile Subscriber Identity (IMSI) with frequent handovers and filtering IMSIs associated with outdoor users therein;

for IMSIs with frequent switching, determining the nearest indoor sub-cell in time; and is

Determining that the building matched with the indoor sub-cell is a building with high-rise signal drift;

the frequently switched IMSI is the IMSI of which the short residence switching times in the time period exceed a second threshold value; a short dwell handoff is a handoff in which the dwell time is less than a first threshold.

2. The method of claim 1, further comprising:

and determining the IMSI of the cells which traverse more than a certain number in the time period as the IMSI related to the outdoor user.

3. The method of claim 1, further comprising:

determining the switching with the residence time smaller than a first threshold value as short residence switching; and is

And determining the cell with the short resident switching times of all the users exceeding a third threshold value in the time period as the cell with frequent switching.

4. The method of claim 3, further comprising:

outputting a list of cells where there are frequent handovers and information of the building.

5. A system for locating high-level signal drift, comprising:

the extraction module is used for extracting all user data during a time period when most users are indoors;

a filtering module, configured to determine that there is an International Mobile Subscriber Identity (IMSI) with frequent handovers, and filter the IMSI associated with the outdoor subscriber;

the first determining module is used for determining a nearest indoor sub-cell in time for the IMSI with frequent switching; and

the second determining module is used for determining that the building matched with the indoor sub-cell is a building with high-rise signal drift;

the frequently switched IMSI is the IMSI of which the short residence switching times in the time period exceed a second threshold value; a short dwell handoff is a handoff in which the dwell time is less than a first threshold.

6. An apparatus for locating high level signal drift, comprising:

a processor; and

a memory for storing a program;

when the processor executes the program, the following method is performed:

extracting all user data during a time period when most users are indoors;

determining the existence of International Mobile Subscriber Identity (IMSI) of frequent switching, and filtering the IMSI related to outdoor users, wherein the IMSI field is defined as the IMSI (TBCD code) of the user;

for IMSIs with frequent switching, determining the nearest indoor sub-cell in time; and is

Determining that the building matched with the indoor sub-cell is a building with high-rise signal drift;

the frequently switched IMSI is the IMSI of which the short residence switching times in the time period exceed a second threshold value; a short dwell handoff is a handoff in which the dwell time is less than a first threshold.

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