CN113055905A

CN113055905A - Network interference analysis method and device and computer readable storage medium

Info

Publication number: CN113055905A
Application number: CN201911373840.1A
Authority: CN
Inventors: 陈守益; 张霖; 符利秀; 吕巍; 黄祥; 韩金轲; 丁宇鹏; 刘茂旭
Original assignee: China Telecom Corp Ltd
Current assignee: China Telecom Corp Ltd
Priority date: 2019-12-27
Filing date: 2019-12-27
Publication date: 2021-06-29
Anticipated expiration: 2039-12-27
Also published as: CN113055905B

Abstract

The present disclosure provides a network interference analysis method, a device and a computer readable storage medium, which relate to the technical field of network optimization, and the method comprises: acquiring a plurality of pieces of first position information of a cell to be analyzed and RSRQ corresponding to each piece of first position information from a measurement report reported to a base station by a terminal; and determining the SINR corresponding to each first position information according to the RSRQ corresponding to each first position information.

Description

Network interference analysis method and device and computer readable storage medium

Technical Field

The present disclosure relates to the field of network optimization technologies, and in particular, to a method and an apparatus for analyzing network interference, and a computer-readable storage medium.

Background

When performing Interference analysis on a wireless network, one important network indicator is downlink SINR (Signal to Interference plus Noise Ratio). The SINR is used to characterize the severity of the network interference, which can be analyzed based on the SINR.

Disclosure of Invention

In the related art, the SINR can be obtained only by a manual test. The inventor has noted that, in the case of many cells to be analyzed, the SINR of each location information of each cell to be analyzed needs to be obtained by a manual test, and the network interference analysis efficiency is low.

In order to solve the above problem, the embodiments of the present disclosure propose the following solutions.

According to an aspect of the embodiments of the present disclosure, a network interference analysis method is provided, including: acquiring a plurality of pieces of first position information of a cell to be analyzed and Reference Signal Received Quality (RSRQ) corresponding to each piece of first position information from a measurement report reported to a base station by a terminal; and determining a signal to interference plus noise ratio (SINR) corresponding to each first position information according to the RSRQ corresponding to each first position information.

In some embodiments, the SINR for each first location information is determined according to equation (1): log (log)₁₀RSRQ＝-log₁₀(M +12/SINR) … (1); wherein M is more than or equal to 3.5 and less than or equal to 4.5.

In some embodiments, M-3.6875.

In some embodiments, formula (1) is obtained according to the following: acquiring a plurality of pieces of second position information of the sampling cell and RSRQ corresponding to each piece of second position information from a measurement report reported to a base station by a terminal; and (3) determining the theoretical SINR corresponding to each second position information according to the formula (2): log (log)₁₀RSRQ＝-log₁₀(4+12/SINR) … (2); acquiring actual SINR corresponding to each piece of second position information obtained through testing; according toAnd correcting the equation (2) by the theoretical SINR and the actual SINR corresponding to each piece of second position information to obtain equation (1).

In some embodiments, equation (2) is rectified by a function successive approximation.

According to an aspect of the embodiments of the present disclosure, there is provided a network interference analysis apparatus, including: the acquisition module is configured to acquire a plurality of pieces of first position information of a cell to be analyzed and Reference Signal Received Quality (RSRQ) corresponding to each piece of first position information from a measurement report reported to a base station by a terminal; and the determining module is configured to determine a signal to interference plus noise ratio (SINR) corresponding to each first position information according to the RSRQ corresponding to each first position information.

In some embodiments, the determining module determines the SINR for each first location information according to equation (1): log (log)₁₀RSRQ＝-log₁₀(M +12/SINR) … (1); wherein M is more than or equal to 3.5 and less than or equal to 4.5.

In some embodiments, M-3.6875.

According to another aspect of the embodiments of the present disclosure, there is provided a network interference analysis apparatus, including: a memory; and a processor coupled to the memory, the processor configured to perform the method of any of the above embodiments based on instructions stored in the memory.

According to a further aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the method according to any one of the embodiments described above.

In the embodiment of the present disclosure, a plurality of location information of the cell to be analyzed and RSRQs corresponding to the location information can be obtained by analyzing the measurement report, and then an SINR corresponding to each location information of the cell to be analyzed is determined by using the RSRQs in the measurement report. In such a way, the SINR is obtained without a manual test mode, so that the network analysis efficiency is improved, and further the network optimization efficiency can be improved.

The technical solution of the present disclosure is further described in detail by the accompanying drawings and examples.

Drawings

In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 is a schematic flow diagram of a network interference analysis method according to some embodiments of the present disclosure;

FIG. 2 is a schematic flow chart diagram for obtaining formula (1) according to some embodiments of the present disclosure;

fig. 3 is a schematic structural diagram of a network interference analysis apparatus according to some embodiments of the present disclosure;

fig. 4 is a schematic structural diagram of a network interference analysis apparatus according to further embodiments of the present disclosure;

5A-5D are processes of correcting equation (2), according to some embodiments of the present disclosure;

FIG. 6 is a schematic comparison of measured, theoretical, and corrective curves according to some embodiments of the present disclosure.

Detailed Description

The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.

The relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.

Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.

Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.

In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.

Fig. 1 is a flow diagram of a network interference analysis method according to some embodiments of the present disclosure.

In step 102, a plurality of pieces of first location information of a cell to be analyzed and RSRQ (Reference Signal Receiving Quality) corresponding to each piece of first location information are obtained from a Measurement Report (MR) reported by a terminal to a base station.

It should be understood that each terminal reports a measurement report to the base station, and the base station may store the measurement report reported by each terminal in the server. Therefore, a plurality of pieces of location information (i.e., first location information) of the cell to be analyzed and RSRQ corresponding to each piece of location information may be acquired from the server.

For example, the measurement report may store a correspondence between the cell identifier, each piece of first location information, and the RSRQ. Each first location information and its corresponding RSRQ may be determined from the cell identity of the cell to be analyzed. The first location information may include, for example, longitude and latitude. The first location information may be carried in a location field in the measurement report, for example a GPS (Global Positioning System) field. As an example, the first location information may be expressed as (mr. longitude, mr. latitude).

In step 104, an SINR corresponding to each first location information is determined according to the RSRQ corresponding to each first location information.

After the SINR corresponding to each piece of first location information is obtained, the SINR may be output, or the network interference condition of the cell to be analyzed may be analyzed based on the SINR corresponding to each piece of first location information, and then an analysis result is output. Furthermore, the network of the cell to be analyzed, for example, a Long Term Evolution (LTE) network, may be optimized according to the SINR and the analysis result.

In some implementations, the reporting time of each RSRQ may be stored in the measurement report. In this way, by acquiring the first location information and RSRQ of the cell to be analyzed in a specific time, the SINR in the specific time can be obtained, and thus the network interference condition of the cell to be analyzed in the specific time can be obtained.

In the above embodiment, a plurality of pieces of location information of the cell to be analyzed and RSRQs corresponding to the location information can be obtained by analyzing the measurement report, and then an SINR corresponding to each piece of location information of the cell to be analyzed is determined by using the RSRQs in the measurement report. In such a way, the SINR is obtained without a manual test mode, so that the network analysis efficiency is improved, and further the network optimization efficiency can be improved.

In some embodiments, the SINR corresponding to each first location information may be determined according to equation (1):

log₁₀RSRQ＝-log₁₀(M+12/SINR)…(1)。

in the formula (1), M is more than or equal to 3.5 and less than or equal to 4.5. In some embodiments, M is 3.6875 so that the estimated SINR from equation (1) is closer to the actual SINR.

Fig. 2 is a schematic flow diagram of obtaining formula (1) according to some embodiments of the present disclosure.

In step 202, a plurality of pieces of second location information of the sampling cell and RSRQ corresponding to each piece of second location information are obtained from a measurement report reported by the terminal to the base station.

Here, the sampling cell may be any one or more cells. For example, a plurality of highways may be selected as the sampling cells.

In step 204, a theoretical SINR corresponding to each second location information is determined according to equation (2):

log₁₀RSRQ＝-log₁₀(4+12/SINR)…(2)。

in step 206, the actual SINR corresponding to each piece of second location information obtained by the test is obtained.

It should be understood that the SINR of each second location information may be obtained through drive test. For example, the SINR of each second location information of each highway may be obtained through drive test.

In step 208, equation (2) is corrected according to the theoretical SINR and the actual SINR corresponding to each second position information, so as to obtain equation (1).

For example, the value in the right parentheses in the expression (2) may be changed so that the theoretical SINR and the actual SINR corresponding to each second position information are as close as possible, for example, the deviation between the theoretical SINR and the actual SINR is smaller than the preset value. In this way, the curve formed by the SINR calculated by equation (1) obtained after correction substantially coincides with the curve formed by the actual SINR obtained by the drive test.

In some implementations, equation (2) may be rectified by a function successive approximation, which will be described in detail later with reference to specific examples.

In the above embodiment, the actual SINRs at the plurality of positions of the sample cell are obtained by the drive test, and equation (1) can be obtained by correcting equation (2) using the actual SINRs. The SINR of each first location information of the cell to be analyzed can be obtained subsequently by using the formula (1), so that network interference analysis can be performed on the cell to be analyzed.

It should be understood that the value of M in equation (1) may be different according to different sampling cells. In other words, the value of M varies with the sampling cell, so that the SINR obtained according to equation (1) is closer to the actual SINR.

It should also be understood that step 206 may be performed later than step 204, or may be performed prior to

steps

202 and 204.

In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the embodiment of the network interference analysis device, since it basically corresponds to the embodiment of the method, the description is relatively simple, and for relevant points, reference may be made to part of the description of the embodiment of the method.

Fig. 3 is a schematic structural diagram of a network interference analysis apparatus according to some embodiments of the present disclosure.

As shown in fig. 3, the network interference analysis apparatus of this embodiment includes an obtaining module 301 and a determining module 302.

The obtaining module 301 is configured to obtain a plurality of pieces of first location information of a cell to be analyzed and RSRQ corresponding to each piece of first location information from a measurement report reported by a terminal to a base station.

The determining module 302 is configured to determine an SINR corresponding to each first location information according to the RSRQ corresponding to each first location information.

For example, the determining module 302 determines the SINR corresponding to each first location information according to equation (1):

log₁₀RSRQ＝-log₁₀(M+12/SINR)…(1)。

in some embodiments, formula (1) may be obtained according to the method shown in fig. 2, and is not described herein again.

Fig. 4 is a schematic structural diagram of a network interference analysis apparatus according to other embodiments of the present disclosure.

As shown in fig. 4, the network interference analysis apparatus 400 of this embodiment includes a memory 401 and a processor 402 coupled to the memory 401, and the processor 402 is configured to execute the method of any one of the foregoing embodiments based on instructions stored in the memory 401.

The memory 401 may include, for example, a system memory, a fixed non-volatile storage medium, and the like. The system memory may store, for example, an operating system, application programs, a Boot Loader (Boot Loader), and other programs.

The network interference analysis apparatus 400 may further include an input/output interface 403, a network interface 404, a storage interface 405, and the like. The

interfaces

403, 404, 405 and the memory 401 and the processor 402 may be connected by a bus 406, for example. The input/output interface 403 provides a connection interface for input/output devices such as a display, a mouse, a keyboard, and a touch screen. The network interface 404 provides a connection interface for various networking devices. The storage interface 405 provides a connection interface for external storage devices such as an SD card and a usb disk.

The derivation of equation (2) is described below.

RSRQ can be expressed as

N is the number of Resource Bearers (RBs) of the full bandwidth, N being related to the bandwidth. SINR is the ratio of the strength of the received desired signal to the strength of the received interfering signal (noise and interference).

Assume that the received power of a reference signal is prs (w), the power of a data Symbol in a Symbol (Symbol) is pdata (w), the number of RBs that have been used by a cell user is X, and the interference and noise of each subcarrier is NI.

The number of RBs not used by the cell user is N-X. The received signal strength of each RB not used by the cell user is: 4 PRS +12 NI (12 subcarriers in a Symbol, 4 reference signals).

The received signal strength of each RB used by a cell user is: 4 PRS +8 Pdata +12 NI (12 subcarriers, 4 reference signals, 8 data subcarriers within a Symbol).

Based on the above assumptions and data, RSRQ may be expressed as:

PA is a power value of Resource Element (RE) of a column not including Cell Reference Signal (CRS) in each symbol with respect to Reference Signal (RS). PB is the power value of other REs except CRS and idler RE relative to RS for each column containing CRS within symbol. PA and PB determine the Pdata versus PRS power on each symbol.

Pdate power is divided into the following two categories:

TypeA power (a-type symbol) ═ RS power + ρ a (determined by PA);

TypeB power (class B symbol) is RS power + ρ B (determined by PB).

ρ a/ρ b can be understood as the power value of TypeA/TypeB against RS. For example, if ρ a is-3 db, the power of TypeA is 1/2 of RS power, and PA/PB can be further expressed by two intermediate variables ρ a/ρ b.

PA ═ ρ a, i.e., PA and ρ a are equal in value, indicating that the power value of TypeA versus RS is an enumerated variable. PA can take a total of (-6, -4.77, -3, -1.77, 0, 1, 2, 3) dB8 values.

PB is an index value and is also an enumeration variable. PB can take 4 values (0, 1, 2, 3). The meaning of PB is to represent the ratio of ρ b and ρ a. Under the condition that the PB index values are the same, different CRS ports can cause different values of rho b/rho a. For example, the following table may be consulted:

in the case of power transmission with 2 antenna ports or 4 antenna ports, when PA is-3 and PB is 1, the TypeA power and TypeB power are equal to 1/2 of the RS power, i.e., Pdata is PRS/2. In this case, the power of a Radio Remote Unit (RRU) can be fully utilized on any symbol in the time domain.

Therefore, assuming that PA is-3 and PB is 1, Pdata is PRS/2, and:

taking the logarithm of the above formula can obtain:

log₁₀RSRQ＝0-log₁₀(X*4/N+4+12/SINR)

＝-log₁₀(X*4/N+4+12/SINR)

it can be seen that the relationship between RSRQ and SINR is load dependent, i.e. the number X of RBs used by a cell user. The following table shows the relationship between RSRQ and SINR.

As can be seen from the above table, for a light load environment, that is, under the condition that the value of X is 0 to 10, the SINR corresponding to different RSRQ changes very little. From the principle of measurement report data acquisition, a measurement report is measurement information reported by M user periods activated under a sector, and downlink data is not added or few interactive bytes are added in the process. For this reason, the acquisition may be performed during a late night period, i.e. X may be assumed to be 0.

In no-load, X is 0. For 2 antenna ports, RSSI 4 PRS +12 NI, then:

taking the logarithm of the above formula can obtain:

log₁₀RSRQ＝0-log₁₀(4+12/SINR)

＝-log₁₀(4+12/SINR)

the theoretical derivation above can derive the corresponding relationship between RSRQ and SINR when the system is idle, i.e. obtain equation (2).

Fig. 5A-5D are processes of correcting equation (2), according to some embodiments of the present disclosure. An example of the procedure for correcting equation (2) is described below with reference to fig. 5A to 5D.

In a first step, the following two functions are compared with the measured function:

log₁₀RSRQ＝-log₁₀(4.5+12/SINR)

log₁₀RSRQ＝-log₁₀(3.5+12/SINR)

as shown in FIG. 5A, log₁₀RSRQ＝-log₁₀(3.5+12/SINR) is more satisfactory, i.e. closer to the measured function.

In a second step, the following two functions are compared with the measured function:

log₁₀RSRQ＝-log₁₀(3.5+12/SINR)

log₁₀RSRQ＝-log₁₀(3.75+12/SINR)

as shown in FIG. 5B, log₁₀RSRQ＝-log₁₀(3.75+12/SINR) is more satisfactory, i.e. closer to the measured function.

Thirdly, comparing the following two functions with the measured function:

log₁₀RSRQ＝-log₁₀(3.625+12/SINR)

log₁₀RSRQ＝-log₁₀(3.75+12/SINR)

as shown in fig. 5C, both functions are satisfactory.

And step four, comparing the following three functions with the measured function:

log₁₀RSRQ＝-log₁₀(3.625+12/SINR)

log₁₀RSRQ＝-log₁₀(3.6875+12/SINR)

log₁₀RSRQ＝-log₁₀(3.75+12/SINR)

as shown in fig. 5D, log₁₀RSRQ＝-log₁₀(3.6875+12/SINR) is the highest fit.

Therefore, log can be expressed₁₀RSRQ＝-log₁₀(3.6875+12/SINR) is expressed by equation (1).

As shown in fig. 6, the coincidence ratio between the corrected curve obtained by correcting the theoretical curve and the measured curve is high.

The disclosed embodiments also provide a computer-readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the method of any of the above embodiments.

Thus, various embodiments of the present disclosure have been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.

As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that the functions specified in one or more of the flows in the flowcharts and/or one or more of the blocks in the block diagrams can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the foregoing examples are for purposes of illustration only and are not intended to limit the scope of the present disclosure. It will be understood by those skilled in the art that various changes may be made in the above embodiments or equivalents may be substituted for elements thereof without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.

Claims

1. A network interference analysis method comprises the following steps:

acquiring a plurality of pieces of first position information of a cell to be analyzed and Reference Signal Received Quality (RSRQ) corresponding to each piece of first position information from a measurement report reported to a base station by a terminal;

and determining a signal to interference plus noise ratio (SINR) corresponding to each first position information according to the RSRQ corresponding to each first position information.

2. The method of claim 1, wherein the SINR for each first location information is determined according to equation (1):

log₁₀RSRQ＝-log₁₀(M+12/SINR)...(1)；

wherein M is more than or equal to 3.5 and less than or equal to 4.5.

3. The method of claim 2, wherein M-3.6875.

4. The method of claim 2, wherein formula (1) is obtained according to the following:

acquiring a plurality of pieces of second position information of the sampling cell and RSRQ corresponding to each piece of second position information from a measurement report reported to a base station by a terminal;

and (3) determining the theoretical SINR corresponding to each second position information according to the formula (2):

log₁₀RSRQ＝-log₁₀(4+12/SINR)...(2)；

acquiring actual SINR corresponding to each piece of second position information obtained through testing;

and correcting the equation (2) according to the theoretical SINR and the actual SINR corresponding to each piece of second position information to obtain equation (1).

5. The method of claim 4, wherein equation (2) is rectified by a function successive approximation.

6. A network interference analysis apparatus comprising:

the acquisition module is configured to acquire a plurality of pieces of first position information of a cell to be analyzed and Reference Signal Received Quality (RSRQ) corresponding to each piece of first position information from a measurement report reported to a base station by a terminal;

and the determining module is configured to determine a signal to interference plus noise ratio (SINR) corresponding to each first position information according to the RSRQ corresponding to each first position information.

7. The apparatus of claim 6, wherein the means for determining determines the SINR for each first location information according to equation (1):

log₁₀ RSRQ＝-log₁₀(M+12/SINR)...(1)；

wherein M is more than or equal to 3.5 and less than or equal to 4.5.

8. The apparatus of claim 7, wherein M-3.6875.

9. A network interference analysis apparatus comprising:

a memory; and

a processor coupled to the memory, the processor configured to perform the method of any of claims 1-5 based on instructions stored in the memory.

10. A computer readable storage medium having computer program instructions stored thereon, wherein the instructions, when executed by a processor, implement the method of any of claims 1-5.