CN111130831A - Target network quality evaluation method and device - Google Patents
Target network quality evaluation method and device Download PDFInfo
- Publication number
- CN111130831A CN111130831A CN201811291701.XA CN201811291701A CN111130831A CN 111130831 A CN111130831 A CN 111130831A CN 201811291701 A CN201811291701 A CN 201811291701A CN 111130831 A CN111130831 A CN 111130831A
- Authority
- CN
- China
- Prior art keywords
- target
- determining
- quality evaluation
- score
- quality
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/50—Testing arrangements
- H04L43/55—Testing of service level quality, e.g. simulating service usage
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Quality & Reliability (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention provides a target network quality evaluation method and device. The method comprises the following steps: acquiring data to be detected; selecting one or more target quality evaluation algorithms from a plurality of preset quality evaluation algorithms; the quality evaluation algorithm comprises at least one of an overlapping coverage evaluation algorithm, a modulo three interference evaluation algorithm, a continuous quality difference evaluation algorithm and a neighboring cell evaluation algorithm; acquiring a target threshold value corresponding to the target quality evaluation algorithm; acquiring sampling points meeting preset conditions from the data to be detected according to the target threshold value; determining a score corresponding to each sampling point; and determining the quality evaluation result of the target network according to the score. The invention can evaluate the network structure from the macroscopic (whole network quality) and microscopic (four systems) angles, can quickly present the problem of network short boards according to the system algorithm, has simple and clear result presentation, saves time and labor, and has low requirement on the skill level of operators.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for evaluating a target network quality.
Background
In daily network optimization work, quality improvement of a wireless environment is the basis of all optimization work; currently, a track played back by test software is usually used to combine different key IEs (Information elements) (such as Reference Signal Receiving Power (RSRP)) to search and analyze a problem point, and network optimization test data analysis is a common network quality problem analysis method, and network data is obtained through an external field test, and then network problem analysis is manually performed through the test software.
All methods known to date using test software are network quality analysis by the following methods:
1. only data report statistics is carried out, and the network quality is presented through report data.
2. And data is played back through software, and is analyzed frame by frame, and network problems are searched manually.
In the test method, the data result presented by the statistical form does not have the function of evaluating the network structure, when the data result of the statistical form is used for analysis, the related statistical data is complicated and high in relevance, when the network quality is in a problem, the network problem directivity is not clear, the person with certain skill reserve is required to perform relevance analysis, the test software is used for performing test data playback, when the network problem analysis is performed, the playback is performed frame by frame, the speed is low, and meanwhile, the analyst is required to have certain skill reserve, so that the network problem can be excavated during the analysis.
Disclosure of Invention
The invention provides a target network quality evaluation method and a target network quality evaluation device, and aims to solve the problems that a network test analysis method in the prior art cannot evaluate a network structure, correlation analysis needs to be carried out by persons with relevant skills, and time and labor are consumed.
In order to solve the above problem, an embodiment of the present invention discloses a target network quality evaluation method, including: acquiring data to be detected; selecting one or more target quality evaluation algorithms from a plurality of preset quality evaluation algorithms; the quality evaluation algorithm comprises at least one of an overlapping coverage evaluation algorithm, a modulo three interference evaluation algorithm, a continuous quality difference evaluation algorithm and a neighboring cell evaluation algorithm; acquiring a target threshold value corresponding to the target quality evaluation algorithm; acquiring sampling points meeting preset conditions from the data to be detected according to the target threshold value; determining a score corresponding to each sampling point; and determining the quality evaluation result of the target network according to the score.
Preferably, when the target quality evaluation algorithm is an overlapping coverage evaluation algorithm, the target threshold includes a serving cell reference signal received power threshold and a reference signal received power difference threshold with a same-frequency neighboring cell, and the step of obtaining a sampling point meeting a preset condition from the data to be detected according to the target threshold includes: selecting overlapping coverage sampling points which accord with the receiving power threshold of the reference signal of the service cell and the receiving power difference threshold of the reference signal of the same-frequency adjacent cell from the data to be detected; the step of determining a score corresponding to each of the sampling points includes: acquiring an overlapping coverage index corresponding to each overlapping coverage sampling point; determining a corresponding overlapping coverage index score according to a first preset algorithm according to each overlapping coverage index; the step of determining a quality evaluation result of the target network according to the score includes: and determining the quality evaluation result of the target network in the aspect of overlapping coverage according to each overlapping coverage index score.
Preferably, when the target quality evaluation algorithm is the modulo three interference evaluation algorithm, the target threshold includes a reference signal received power difference threshold when a PCI (Physical Cell Identifier) modulo three values of a co-frequency primary serving Cell and a neighboring Cell are equal, and the step of acquiring a sampling point meeting a preset condition from the data to be detected according to the target threshold includes: selecting a module three interference sampling point which accords with a reference signal receiving power difference threshold of the same-frequency main service cell and the adjacent cell under the condition that PCI module three values are equal from the data to be detected; the step of determining a score corresponding to each of the sampling points includes: acquiring a module three interference index corresponding to each module three interference sampling point; determining a corresponding modulo three interference index score according to a second preset algorithm according to each modulo three interference index; the step of determining a quality evaluation result of the target network according to the score includes: and determining the quality evaluation result of the target network in the aspect of the modulo three interference according to each modulo three interference index score.
Preferably, when the target quality evaluation algorithm is the continuous quality difference evaluation algorithm, the target threshold value includes a serving cell reference signal received power threshold value or a signal-to-interference-plus-noise ratio threshold value, and satisfies a distance continuous threshold, and the step of obtaining a sampling point meeting a preset condition from the data to be detected according to the target threshold value includes: selecting continuous quality difference sampling points which accord with the receiving power threshold value of the reference signal of the service cell or the signal-to-interference-plus-noise ratio threshold value and meet the distance continuous threshold from the data to be detected; the step of determining a score corresponding to each of the sampling points includes: acquiring a continuous quality difference index corresponding to each continuous quality difference sampling point; determining a corresponding continuous quality difference index score according to a third preset algorithm according to each continuous quality difference index; the step of determining a quality evaluation result of the target network according to the score includes: and determining the network quality evaluation result of the target network in the aspect of continuous quality difference according to each continuous quality difference index score.
Preferably, when the target quality evaluation algorithm is the neighboring cell evaluation algorithm, the target threshold includes a neighboring cell missing threshold and a redundant neighboring cell threshold, and the step of obtaining a sampling point meeting a preset condition from the data to be detected according to the target threshold includes: selecting adjacent cell sampling points which accord with the adjacent cell missing threshold value and the redundant adjacent cell threshold value from the data to be detected; the step of determining a score corresponding to each of the sampling points includes: determining corresponding adjacent cell scores according to a fourth preset algorithm according to each adjacent cell sampling point; the step of determining a quality evaluation result of the target network according to the score includes: and determining the network quality evaluation result of the target network in the neighboring area according to the neighboring area score.
In order to solve the above problem, an embodiment of the present invention further discloses a target network quality evaluation apparatus, including: the data acquisition module to be detected is used for acquiring data to be detected; the evaluation algorithm selection module is used for selecting one or more target quality evaluation algorithms from a plurality of preset quality evaluation algorithms; the quality evaluation algorithm comprises at least one of an overlapping coverage evaluation algorithm, a modulo three interference evaluation algorithm, a continuous quality difference evaluation algorithm and a neighboring cell evaluation algorithm; a threshold value obtaining module, configured to obtain a target threshold value corresponding to the target quality evaluation algorithm; the sampling point acquisition module is used for acquiring sampling points which accord with preset conditions from the data to be detected according to the target threshold value; the score determining module is used for determining the score corresponding to each sampling point; and the quality evaluation result determining module is used for determining the quality evaluation result of the target network according to the score.
Preferably, when the target quality evaluation algorithm is an overlapping coverage evaluation algorithm, the target threshold includes a serving cell reference signal received power threshold and a reference signal received power difference threshold with a same-frequency neighboring cell, and the sampling point obtaining module includes: the first sampling point selection submodule is used for selecting overlapping coverage sampling points which accord with the receiving power threshold of the reference signal of the service cell and the difference threshold of the receiving power of the reference signal of the same-frequency adjacent cell from the data to be detected; the score determination module includes: a coverage index obtaining submodule for obtaining an overlapping coverage index corresponding to each overlapping coverage sampling point; the index score determining submodule is used for determining corresponding overlapping coverage index scores according to a first preset algorithm and each overlapping coverage index; the quality evaluation result determination module includes: and the first quality evaluation result determining submodule is used for determining the quality evaluation result of the target network in the aspect of overlapping coverage according to each overlapping coverage index score.
Preferably, when the target quality evaluation algorithm is the modulo three interference evaluation algorithm, the target threshold value comprises a reference signal receiving power difference threshold of the co-frequency main service Cell and the adjacent Cell under the condition that the PCI (Physical Cell Identifier) modulo three values are equal, the sampling point acquisition module comprises a second sampling point selection sub-module for selecting the modulo three interference sampling point which accords with the reference signal receiving power difference threshold of the co-frequency main service Cell and the adjacent Cell under the condition that the PCI modulo three values are equal from the data to be detected, the score determination module comprises an interference index acquisition sub-module for acquiring the modulo three interference indexes corresponding to the modulo three interference sampling points, an interference index score determination sub-module for determining the corresponding modulo three interference index scores according to the modulo three interference indexes and a second preset algorithm, and the quality evaluation result determination module comprises a second quality evaluation sub-module And the result determining submodule is used for determining the quality evaluation result of the target network in the aspect of the modulo three interference according to each modulo three interference index score.
Preferably, when the target quality evaluation algorithm is the continuous quality evaluation algorithm, the target threshold value includes a serving cell reference signal received power threshold value or a signal to interference plus noise ratio threshold value, and satisfies a distance continuous threshold, and the sampling point acquisition module includes: a third sampling point selection submodule, configured to select, from the data to be detected, a continuous quality difference sampling point that meets a threshold value of a received power of a reference signal of the serving cell or a threshold value of a signal-to-interference-plus-noise ratio and meets a distance continuous threshold; the score determination module includes: the quality difference index acquisition sub-module is used for acquiring the continuous quality difference indexes corresponding to the continuous quality difference sampling points; the quality difference index score determining submodule is used for determining corresponding continuous quality difference index scores according to a third preset algorithm and each continuous quality difference index; the quality evaluation result determination module includes: and the third quality evaluation result determining submodule is used for determining the network quality evaluation result of the target network in the aspect of continuous quality difference according to each continuous quality difference index score.
Preferably, when the target quality evaluation algorithm is the neighboring cell evaluation algorithm, the target threshold includes a neighboring cell missing threshold and a redundant neighboring cell threshold, and the sampling point obtaining module includes: the fourth sampling point selection sub-module is used for selecting the adjacent cell sampling points which accord with the adjacent cell missing threshold value and the redundant adjacent cell threshold value from the data to be detected; the score determination module includes: the adjacent cell score determining sub-module is used for determining corresponding adjacent cell scores according to a fourth preset algorithm and according to each adjacent cell sampling point; the quality evaluation result determination module includes: and the fourth quality evaluation result determining submodule is used for determining the network quality evaluation result of the target network in the adjacent area according to the score of the adjacent area.
Compared with the prior art, the invention has the following advantages:
the embodiment of the invention provides a target network quality evaluation method and device, which can obtain a target threshold value corresponding to a target quality evaluation algorithm by obtaining data to be detected and selecting one or more target quality evaluation algorithms from a plurality of preset quality evaluation algorithms, wherein the quality evaluation algorithm comprises at least one of an overlapping coverage evaluation algorithm, a modulo three interference evaluation algorithm, a continuous quality difference evaluation algorithm, a neighboring cell evaluation algorithm and a neighboring cell evaluation algorithm, and obtain sampling points meeting preset conditions from the data to be detected according to the target threshold value, thereby determining scores corresponding to the sampling points and determining a quality evaluation result of a target network according to the scores. The evaluation system and the evaluation algorithm provided by the embodiment of the invention can evaluate the network structure from the macroscopic (whole network quality) and microscopic (four systems) angles, can quickly present the problem of network short boards according to the system algorithm, and has the advantages of simple and clear result presentation, time and labor saving and low requirement on the skill level of operators.
Drawings
Fig. 1 is a flowchart illustrating steps of a target network quality evaluation method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a target network quality evaluation device according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Example one
Referring to fig. 1, a flowchart illustrating steps of a target network quality evaluation method provided in an embodiment of the present invention is shown, which may specifically include the following steps:
step 101: and acquiring data to be detected.
In the embodiment of the present invention, the data to be detected may be network data that may be obtained by an external field as the data to be detected when the network quality of the target cell is evaluated, the data to be detected is a data report reported by each cell under a base station where the target network is located, and the data to be detected is obtained according to the data report reported by each cell.
Of course, in practical applications, the data to be detected may also be obtained in other manners, which is not limited in this embodiment of the present invention.
After the data to be detected is acquired, step 102 is performed.
Step 102: one or more target quality evaluation algorithms are selected from a plurality of preset quality evaluation algorithms.
In the embodiment of the present invention, the quality evaluation algorithm includes any one of an overlapping coverage evaluation algorithm, a modulo three interference evaluation algorithm, a continuous quality difference evaluation algorithm, and a neighboring cell evaluation algorithm.
When performing network quality evaluation of the target cell, a manager may select any one or more quality evaluation algorithms from the four quality evaluation algorithms to evaluate the quality of the target network, which is not limited in the embodiment of the present invention.
After selecting one or more quality assessment algorithms from the plurality of quality assessment algorithms as the target quality assessment algorithm, step 103 is performed.
Step 103: and acquiring a target threshold value corresponding to the target quality evaluation algorithm.
In the embodiment of the present invention, different threshold values are preset for different quality assessment algorithms, and detailed description is given in four ways as follows.
1. For the overlap coverage evaluation algorithm, the preset threshold may be a serving cell reference signal received power threshold and a reference signal received power difference threshold with the same-frequency neighboring cell, for example, the reference signal received power difference between the serving cell and the same-frequency neighboring cell is within 6db, and the reference signal received power is greater than-105 db.
2. For the modulo three interference estimation algorithm, the preset threshold may be a reference signal received power difference threshold when the modulo three values of the PCIs (Physical Cell identifiers) of the same-frequency primary serving Cell and the neighboring Cell are equal, for example, the reference signal received power difference between the serving Cell and the same-frequency neighboring Cell is within 10db, and the modulo three values of the PCIs are equal.
3. For the continuous quality difference evaluation algorithm, the preset threshold may be a serving cell reference signal received power threshold or a signal to interference plus noise ratio threshold, and the distance continuous threshold is satisfied, for example, the reference signal received power of a certain cell under the base station where the target cell is located is less than-105 db, or the interference plus noise ratio is less than 0db, and the distance is continuously greater than 5 meters, and the like.
4. For the neighbor cell evaluation algorithm, the preset threshold may be a neighbor cell missing threshold and a redundant neighbor cell threshold, for example, a neighbor cell missing or a redundant neighbor cell determined according to a preset condition exists in each cell of the base station where the target network is located.
Specifically, the detailed description will be made in the following steps, which will not be described herein.
It should be understood that the above examples are only examples for better understanding of the technical solutions of the embodiments of the present invention, and are not to be construed as the only limitations of the present invention.
In practical application, a person skilled in the art may set the threshold values corresponding to various quality evaluation algorithms according to actual needs, which is not limited in the embodiment of the present invention.
After obtaining the target threshold value corresponding to the target quality evaluation algorithm, step 104 is executed.
Step 104: and acquiring sampling points meeting preset conditions from the data to be detected according to the target threshold value.
In the embodiment of the present invention, after the target threshold corresponding to the target quality evaluation algorithm is obtained, sampling points meeting preset conditions may be obtained from the data to be detected according to the target threshold, and the following four preferred embodiments are described in detail with respect to the four quality evaluation algorithms.
In a preferred embodiment of the present invention, when the target quality evaluation algorithm is an overlapping coverage evaluation algorithm, the target threshold includes a serving cell reference signal received power threshold, and the step 104 may include:
substep S1: and selecting overlapping coverage sampling points which accord with the reference signal receiving power threshold of the service cell and the reference signal receiving power difference threshold of the same-frequency adjacent cell from the data to be detected.
In the embodiment of the present invention, according to the set serving cell reference signal received power threshold and the reference signal received power difference threshold of the same-frequency neighboring cell, an overlapping coverage sampling point, that is, an overlapping coverage cell, that meets the serving cell reference signal received power threshold and the reference signal received power difference threshold of the same-frequency neighboring cell may be selected from the data to be detected, for example, the same-frequency neighboring cell, in which the difference between the serving cell reference signal received power and the same-frequency neighboring cell reference signal received power is less than 6dBm and the reference signal received power is greater than-105 dBm, is determined as the overlapping coverage point.
Of course, in practical applications, those skilled in the art may select other values of the reference signal received power according to actual needs, which is not limited by the embodiment of the present invention.
In another preferred embodiment of the present invention, when the target quality evaluation algorithm is the modulo three interference evaluation algorithm, the target threshold includes a reference signal received power difference threshold when a PCI (Physical cell identity) modulo three values of an intra-frequency primary serving cell and an adjacent cell are equal, where the step 104 may include:
substep S2: and selecting a module three interference sampling point which accords with the reference signal receiving power difference threshold of the same-frequency main service cell and the adjacent cell under the condition that the PCI module three values are equal from the data to be detected.
In the embodiment of the present invention, a modulo three interference sampling point meeting a reference signal receiving power difference threshold under the condition that the PCI modulo three values of the same-frequency primary serving cell and the adjacent cell are equal may be selected from the data to be detected according to the set reference signal receiving power difference threshold under the condition that the PCI modulo three values of the same-frequency primary serving cell and the adjacent cell are equal, for example, if the difference value of the same-frequency adjacent cell and the serving cell is less than 10dBm, and if the modulo three values of the same-frequency adjacent cell and the target cell are the same, a modulo three interference exists, otherwise, the same-frequency adjacent cell is taken as a modulo three interference sampling point meeting the condition.
Of course, in practical applications, those skilled in the art may select other values of the reference signal received power and the PCI mod three value according to actual needs, which is not limited in the embodiment of the present invention.
In another preferred embodiment of the present invention, when the target quality evaluation algorithm is the continuous quality difference evaluation algorithm, the target threshold value includes a serving cell reference signal received power threshold value or a signal-to-interference-plus-noise ratio threshold value, and satisfies a distance continuous threshold, where the step 104 may include:
substep S3: and selecting continuous quality difference sampling points which accord with the reference signal receiving power threshold value or the signal-to-interference-plus-noise ratio threshold value of the serving cell and meet the distance continuous threshold from the data to be detected.
In the embodiment of the present invention, according to a set serving cell reference signal received power threshold value or signal to interference plus noise ratio threshold value and a distance continuity threshold, a continuous quality difference sampling point which meets the serving cell reference signal received power threshold value or signal to interference plus noise ratio threshold value and meets the distance continuity threshold is selected from data to be detected, for example, a certain path measurement sampling point meets the reference signal received power of < -110dBm or the signal to interference plus noise ratio of <0dB and is marked as a quality difference sampling point, and the distance between the quality difference sampling points is continuous and greater than or equal to 30 meters (the adjustable statistical distance is 20 meters, 10 meters, 5 meters) and more and is marked as a continuous quality difference; and the continuous quality difference proportion is 30 meters and more, RSRP < -110dBm or SINR <0dB, and the sum of the distances of the continuous quality difference road sections/the total testing mileage is obtained.
Of course, in practical applications, a person skilled in the art may select other values of the reference signal received power and the signal to interference noise ratio according to actual needs, which is not limited in the embodiment of the present invention.
In another preferred embodiment of the present invention, when the target quality evaluation algorithm is the neighboring cell evaluation algorithm, the target threshold includes a neighboring cell missing threshold and a redundant neighboring cell threshold, and the step 104 may include:
substep S4: and selecting the adjacent cell sampling points which accord with the adjacent cell missing threshold value and the redundant adjacent cell threshold value from the data to be detected.
In the embodiment of the invention, the definition of missing matching and redundancy in the adjacent region evaluation is as follows: the user terminal reports the measurement report according to the judgment principle of the A-type event, the reported cell is not influenced by the neighbor cell in the measurement control, and whether the neighbor cell missing exists can be obtained only by comparing the measurement report with the abnormal switching with the neighbor cell relation table of the current service cell. And comparing the derived neighbor missing report (including the neighbor information reported by the UE, including EARFCN (E-UTRA Absolute radio frequency Channel Number, PCI and reference signal received power information) with the current network neighbor relation, and confirming that the neighbor missing exists 20 times (an adjustable threshold) when the accumulation of the PCIs which are not configured in the neighbor list of the service cell reaches a record limit value. And calculating the distance between the target cell and each adjacent cell in the report according to the longitude and latitude information of the current network base station. A redundant neighbor relation is considered likely to exist if the distance is greater than 1000 meters (adjustable threshold) and the reference signal received power is less than-105 dBm (adjustable threshold).
Furthermore, the same-frequency neighboring cells with redundant neighboring cell relation or neighboring cell missing distribution can be selected from the data to be detected as the neighboring cell sampling points of the target network.
The sub-steps S1 to S4 are a detailed description of step 104 in the embodiment of the present invention, and are a detailed explanation of four quality assessment algorithms, respectively, and there is no relationship between the sub-steps S1 to S4.
After the sampling points meet the preset condition, step 105 is executed.
Step 105: and determining the score corresponding to each sampling point.
After the sampling points meeting the preset condition are obtained from the data to be detected, the scores corresponding to the sampling points can be obtained according to the sampling points, and different calculation methods can be provided for different quality evaluation algorithms, specifically, detailed description is provided in the following preferred embodiments.
When the target quality estimation algorithm is an overlapping coverage estimation algorithm, the step 105 may include:
substep N1: acquiring an overlapping coverage index corresponding to each overlapping coverage sampling point;
substep N2: and determining a corresponding overlapping coverage index score according to a first preset algorithm according to each overlapping coverage index.
In the embodiment of the present invention, when acquiring the overlapping coverage sampling points, the overlapping coverage index corresponding to each sampling point may be acquired first, for example, as shown in table 1 below:
table 1:
as shown in table 1, the overlapping number is the number of cells to be overlapped, the overlapping index is the overlapping coverage index, and the coefficient score is the score corresponding to different overlapping coverage indexes, in the data to be detected, if the first neighboring cell of the serving cell satisfies the overlapping coverage condition, the value is recorded as 1, the second neighboring cell of the serving cell satisfies the overlapping coverage condition, the value is recorded as 2, the third neighboring cell of the serving cell satisfies the overlapping coverage condition, the value is recorded as 3, and so on, the value satisfying the condition is accumulated and summed, multiplied by the coefficient 10, and divided by the total number of sampling points, so as to obtain the overlapping coverage index of the target cell, and if the obtained overlapping coverage index of the target cell is higher, the higher the network quality of the target cell is represented.
According to the above table 1, after obtaining the overlapping coverage index of each sampling point of the target cell, the corresponding overlapping coverage index score may be determined according to a first preset algorithm, specifically, expressed by the following formula:
the overlap coverage index score is (the number of samples having an overlap coverage index value of 0 corresponds to a coefficient score of + … + the number of samples having an overlap coverage index value of 100 or more corresponds to a coefficient score)/the total number of samples.
The above formula is expressed in table 1, and the total number of sampling points is the number of all sampling points in the target network in the data to be detected.
Of course, in practical applications, the overlapping coverage index score corresponding to the target cell may also be obtained in other manners, which is not limited in the embodiment of the present invention.
When the target quality estimation algorithm is a modulo three interference estimation algorithm, the step 105 may include:
sub-step M1: acquiring a module three interference index corresponding to each module three interference sampling point;
sub-step M2: and determining a corresponding module three interference index score according to a second preset algorithm according to each module three interference index.
In the embodiment of the present invention, when obtaining the modulo three interference sampling points, the modulo three interference index corresponding to each sampling point may be obtained first, for example, as shown in table 2 below:
table 2:
| difference value of RSRP | Modulus three interference index | Coefficient of division |
| <＝1 | 100 | 0 |
| 2 | 90 | 1 |
| 3 | 80 | 2 |
| 4 | 70 | 3 |
| 5 | 60 | 4 |
| 6 | 50 | 5 |
| 7 | 40 | 6 |
| 8 | 30 | 7 |
| 9 | 20 | 8 |
| 10 | 10 | 9 |
| >＝11 | 0 | 10 |
As shown in table 2, firstly, calculating an RSRP difference between the co-frequency neighbor cell and the target cell, if the RSRP difference is less than or equal to 10dBm and the modulo three values are the same, determining that modulo three interference exists, otherwise, determining that no interference exists; and then, according to the RSRP difference value of the target cell and each same-frequency adjacent cell, corresponding to one module three interference index, if the RSRP difference value of the target cell and the first same-frequency adjacent cell is 1, the comparison index is marked as a module three interference index 100, the RSRP difference value of the target cell and the second same-frequency adjacent cell is 2, the comparison index is marked as a module three interference index 90, and so on, and then the base number values of all the module three interference cells are summed and divided by the number of all sampling points (distributed in sequence according to the difference value) to obtain the module three interference index. The higher the modulo three interference index, the worse the network quality of the target cell.
After the modulo three interference index corresponding to each modulo three interference sampling point is obtained, the modulo three interference index score corresponding to the target may be determined according to a second preset algorithm, and specifically, described in the following formula.
Modulo three interference index score (number of samples with a modulo three interference index value of 0 corresponds to score coefficient + … + number of samples with a modulo three interference index value of 100 corresponds to score coefficient)/total samples.
The above formula is expressed based on the above table 2, and the total sampling points are all the sampling points under the target network in the data to be detected.
Of course, in practical applications, the overlapping coverage index score corresponding to the target cell may also be obtained in other manners, which is not limited in the embodiment of the present invention.
When the target quality estimation algorithm is a continuous quality estimation algorithm, the step 105 may include:
sub-step P1: acquiring a continuous quality difference index corresponding to each continuous quality difference sampling point;
sub-step P2: and determining corresponding continuous quality difference index scores according to a third preset algorithm according to each continuous quality difference index.
In the embodiment of the present invention, the third preset algorithm may be to calculate from the first sampling point of RSRP < -110dBm or SINR <0dB, count that consecutive N sampling points are all RSRP < -110dBm or SINR <0dB as valid, calculate the distance from the initial first sampling point to the nth sampling point, if the nth-1 sampling point does not meet RSRP < -110dBm or SINR <0dB, count again from the nth to the initial sampling point, continue sampling, calculate the distance between the 1 st sampling point and the 2 nd sampling point, the distance between the 2 nd and the 3 rd sampling points, until the distance between the N-1 st and the nth, sum each distance (the distance is directly calculated without using the latitude and longitude of the 1 st and the nth sampling points, avoid statistical errors caused by parking or turning), and enter statistics; the statistically significant distance may be defined as: and counting the self-defined distances of 30 meters, 20 meters, 10 meters, 5 meters and the like, wherein the continuous quality difference ratio also changes correspondingly. And under the condition that the continuous quality difference accounts for the ratio, namely the user-defined effective distance, the RSRP < -110dBm or the SINR <0dB of the sum of the distances of the continuous quality difference road sections/the total testing mileage.
And the continuous quality difference index of each sampling point of the target cell is 100, and the higher the continuous quality difference index is, the worse the network quality is. After obtaining the continuous quality difference index corresponding to each continuous quality difference sampling point, the continuous quality difference index score corresponding to the target cell may be determined according to the continuous quality difference index corresponding to each sampling point, as shown in the following formula:
continuous quality difference score ═ IF ((10-continuous quality difference index) >0, "(10-continuous quality difference index) × 10", 0).
As shown in the above formula, when the continuous quality difference index is greater than 10, no score is obtained.
Of course, in practical applications, the continuous quality difference index score corresponding to the target cell may also be obtained in other manners, which is not limited in the embodiment of the present invention.
When the target quality evaluation algorithm is a neighbor evaluation algorithm, the step 105 may include:
substep A1: and determining the corresponding adjacent cell score according to a fourth preset algorithm according to each adjacent cell sampling point.
In the embodiment of the invention, the neighbor missing distribution is carried out by comparing the derived report with the derived neighbor relation if the derived report contains the neighbor information (containing the neighbor information reported by the UE and including EARFCN, PCI and RSRP information), if the RSRP of the neighbor cell is greater than the RSRP of the service cell, the possibility of the neighbor missing distribution is considered to exist if the neighbor relation does not exist, and if the accumulated count reaches 20 times, the neighbor missing distribution is considered to exist. Specifically, the missing distribution of the neighboring cell existing in the target cell in the data to be detected can be obtained by adopting the following steps:
the first step is as follows: the RSRP of a neighbor cell under a certain target cell is greater than the RSRP of the target cell;
the second step is that: comparing the neighboring cell relation of the target cell with the configured neighboring cell relation;
the third step: if the neighbor cell does not exist in the configured neighbor cell, counting for 1 time;
the fourth step: and accumulating for more than 20 times, and marking as the adjacent area missing distribution.
And redundant neighbor cells, namely, the distance between the service cell and each neighbor cell in the report is calculated according to the longitude and latitude information of the current network base station by deriving the neighbor cell information (including the neighbor cell information reported by the UE and including EARFCN, PCI and RSRP information) in the report. If the distance is greater than 1000 meters (threshold adjustable) and the RSRP is less than-105 dBm (threshold adjustable), then a redundant neighbor relation is considered likely to exist. Specifically, the redundant neighboring cell existing in the target cell in the data to be detected can be obtained by the following steps:
the first step is as follows: calculating the distance between the target cell and each adjacent cell in the report;
the second step is that: if the distance of the adjacent region is more than 1000 meters, the RSRP is less than-105 dBm, and counting is carried out for 1 time;
the third step: accumulating for more than 20 times to obtain a redundant adjacent area;
the fourth step: and inquiring the adjacent region relation table to determine whether the adjacent region is a redundant adjacent region.
And the score of the neighboring cell can be represented by the following formula:
the neighbor cell score is (1- (neighbor cell missing number + redundant neighbor cell number)/serving cell number) × 10; and the full score is 10 minutes, and when the number of the missing distribution of the adjacent cell plus the number of the redundant adjacent cells is greater than the number of the service cell, the score is lower as the number of the missing distribution of the adjacent cell plus the number of the redundant adjacent cells is greater.
In the above formula, the serving cell number refers to changing a target cell, that is, a serving cell of a user terminal, by changing a location of the user terminal when the user terminal measures a network quality of a base station.
After determining the score corresponding to each sampling point according to the target quality assessment algorithm, step 106 is performed.
Step 106: and determining the quality evaluation result of the target network according to the score.
After determining the score corresponding to each sampling point according to the target quality evaluation algorithm, the quality evaluation result of the target network may be determined according to the scores.
When the target quality evaluation algorithm is an overlapping coverage evaluation algorithm, the lower the overlapping coverage index score is, the worse the network quality of the target cell is, in the invention, an overlapping coverage index score threshold value can be preset, and when the overlapping coverage index score corresponding to the target cell is smaller than the overlapping coverage index score threshold value, the worse the network quality of the target cell is, prompt information can be generated so that a worker can maintain the target cell, for example, RSRP is about-95 dBm in a region with high overlapping coverage, and frequent reselection or switching among cells with PCIs 74, 293 and 480 exists. There is no dominant cell for this road segment, while there is a pinpoint coverage for the cell with PCI 74, which needs to reduce the coverage of the site.
And when the target quality evaluation algorithm is a modulo three interference evaluation algorithm, the lower the modulo three interference index score is, the worse the network quality of the target cell is, in the present invention, a modulo three interference index score threshold may also be preset, and when the modulo three interference index score corresponding to the target cell is smaller than the modulo three interference index score threshold, the network quality of the target cell is, the worse the network quality of the target cell is, a corresponding prompt message may be generated, so that a worker maintains the target cell, for example, the modulo three interference of the target cell is reduced by adjustment, etc.
When the target quality evaluation algorithm is a continuous quality difference evaluation algorithm, the higher the continuous quality difference index score is, the worse the network quality of the target cell is, in the invention, a continuous quality difference index score threshold value can also be preset, and when the corresponding continuous quality difference index score of the target cell is greater than the continuous quality difference index score threshold value, the network quality of the target cell is indicated to be poor, and corresponding prompt information can be generated so that a worker can maintain the target cell.
And when the target quality evaluation algorithm is a neighbor evaluation algorithm, the higher the neighbor score is, the better the network quality of the base station where the target cell is located is, in the invention, a neighbor score threshold value can also be preset, and when the neighbor score corresponding to the base station where the target cell is located is smaller than the neighbor score threshold value, the poor network quality of the base station where the target cell is located is indicated, corresponding prompt information can be generated, so that a worker can maintain the base station where the target cell is located.
In another embodiment of the present invention, the above four quality evaluation algorithms may be combined, and according to the weighted calculation of the main evaluation object, an NIS (Network Structure Index evaluation Score) is obtained, where the NIS (Network Structure Index evaluation Score) is an overlay coverage Score + a modulo three interference Index Score + a second weight + a continuous quality difference Index Score + a third weight, and whether the integrated Network Structure reflecting the whole Network and a certain sampling point is reasonable or not and a short board Structure exists or not.
In the calculation formula of the NIS, the first weight is a weight corresponding to the overlapping coverage score, the second weight is a weight corresponding to the modulo three interference index score, and the third weight is a weight corresponding to the continuous quality difference index score.
And (3) filtering the processed data according to the judgment condition NIS + effective distance, imaging the filtered data to form Mapinfo track sampling points, clearly seeing related index information and NIS at each sampling point, seeing the index factor causing the too low NIS from the index information, and obtaining recommendation information for optimizing the related index.
According to the target network quality evaluation method provided by the embodiment of the invention, the data to be detected is obtained, one target quality evaluation algorithm is selected from a plurality of preset quality evaluation algorithms, the quality evaluation algorithm comprises at least one of an overlapping coverage evaluation algorithm, a modulo three interference evaluation algorithm, a continuous quality difference evaluation algorithm and a neighboring cell evaluation algorithm, a target threshold value corresponding to the target quality evaluation algorithm can be obtained, sampling points meeting preset conditions are obtained from the data to be detected according to the target threshold value, therefore, the scores corresponding to the sampling points are determined, and the quality evaluation result of the target network is determined according to the scores. The evaluation system and the evaluation algorithm provided by the embodiment of the invention can evaluate the network structure from the macroscopic (whole network quality) and microscopic (four systems) angles, can quickly present the problem of network short boards according to the system algorithm, and has the advantages of simple and clear result presentation, time and labor saving and low requirement on the skill level of operators.
Example two
Referring to fig. 2, a schematic structural diagram of a target network quality assessment apparatus provided in an embodiment of the present invention is shown, which may specifically include:
a to-be-detected data acquisition module 210, configured to acquire to-be-detected data; an evaluation algorithm selection module 220, configured to select a target quality evaluation algorithm from multiple preset quality evaluation algorithms; the quality evaluation algorithm comprises at least one of an overlapping coverage evaluation algorithm, a modulo three interference evaluation algorithm, a continuous quality difference evaluation algorithm and a neighboring cell evaluation algorithm; a threshold value obtaining module 230, configured to obtain a target threshold value corresponding to the target quality evaluation algorithm; a sampling point obtaining module 240, configured to obtain, according to the target threshold, a sampling point that meets a preset condition from the data to be detected; a score determining module 250, configured to determine a score corresponding to each of the sampling points; and the quality evaluation result determining module 260 is used for determining the quality evaluation result of the target network according to the score.
Preferably, when the target quality evaluation algorithm is an overlapping coverage evaluation algorithm, the target threshold includes a serving cell reference signal received power threshold and a reference signal received power difference threshold with a co-frequency neighboring cell, and the sampling point obtaining module 240 includes: the first sampling point selection submodule is used for selecting overlapping coverage sampling points which accord with the receiving power threshold of the reference signal of the service cell and the difference threshold of the receiving power of the reference signal of the same-frequency adjacent cell from the data to be detected; the score determination module 250 includes: a coverage index obtaining submodule for obtaining an overlapping coverage index corresponding to each overlapping coverage sampling point; the index score determining submodule is used for determining corresponding overlapping coverage index scores according to a first preset algorithm and each overlapping coverage index; the quality evaluation result determination module 260 includes: and the first quality evaluation result determining submodule is used for determining the quality evaluation result of the target network in the aspect of overlapping coverage according to each overlapping coverage index score.
Preferably, when the target quality evaluation algorithm is the modulo three interference evaluation algorithm, the target threshold value includes a reference signal receiving power difference threshold of the co-frequency primary serving Cell and the adjacent Cell under the condition that the PCI (Physical Cell Identifier) modulo three values are equal, the sampling point acquisition module 240 includes a second sampling point selection sub-module for selecting the modulo three interference sampling point which accords with the reference signal receiving power difference threshold of the co-frequency primary serving Cell and the adjacent Cell under the condition that the PCI modulo three values are equal from the data to be detected, the score determination module 250 includes an interference index acquisition sub-module for acquiring the modulo three interference index corresponding to each modulo three interference sampling point, an interference index score determination sub-module for determining the corresponding modulo three interference index score according to each modulo three interference index according to a second preset algorithm, and the quality evaluation result determination module 260 includes a second quality evaluation sub-module And the quantity evaluation result determining submodule is used for determining the quality evaluation result of the target network in the aspect of the modulo three interference according to each modulo three interference index score.
Preferably, when the target quality evaluation algorithm is the continuous quality evaluation algorithm, the target threshold value includes a serving cell reference signal received power threshold value or a signal-to-interference-plus-noise ratio threshold value, and satisfies a distance continuous threshold, and the sampling point obtaining module 240 includes: a third sampling point selection submodule, configured to select, from the data to be detected, a continuous quality difference sampling point that meets a threshold value of a received power of a reference signal of the serving cell or a threshold value of a signal-to-interference-plus-noise ratio and meets a distance continuous threshold; the score determination module 250 includes: the quality difference index acquisition sub-module is used for acquiring the continuous quality difference indexes corresponding to the continuous quality difference sampling points; the quality difference index score determining submodule is used for determining corresponding continuous quality difference index scores according to a third preset algorithm and each continuous quality difference index; the quality evaluation result determination module 260 includes: and the third quality evaluation result determining submodule is used for determining the network quality evaluation result of the target network in the aspect of continuous quality difference according to each continuous quality difference index score.
Preferably, when the target quality evaluation algorithm is the neighboring cell evaluation algorithm, the target threshold includes a neighboring cell missing threshold and a redundant neighboring cell threshold, and the sampling point obtaining module 240 includes: the fourth sampling point selection sub-module is used for selecting the adjacent cell sampling points which accord with the adjacent cell missing threshold value and the redundant adjacent cell threshold value from the data to be detected; the score determination module 250 includes: the adjacent cell score determining sub-module is used for determining corresponding adjacent cell scores according to a fourth preset algorithm and according to each adjacent cell sampling point; the quality evaluation result determination module 260 includes: and the fourth quality evaluation result determining submodule is used for determining the network quality evaluation result of the target network in the adjacent area according to the score of the adjacent area.
The target network quality evaluation device provided by the embodiment of the invention can obtain the target threshold value corresponding to the target quality evaluation algorithm by obtaining the data to be detected and selecting one or more target quality evaluation algorithms from a plurality of preset quality evaluation algorithms, wherein the quality evaluation algorithms comprise at least one of an overlapping coverage evaluation algorithm, a modulo three interference evaluation algorithm, a continuous quality difference evaluation algorithm and a neighboring cell evaluation algorithm, and can obtain the sampling points meeting the preset conditions from the data to be detected according to the target threshold value, thereby determining the scores corresponding to the sampling points and determining the quality evaluation result of the target network according to the scores. The evaluation system and the evaluation algorithm provided by the embodiment of the invention can evaluate the network structure from the macroscopic (whole network quality) and microscopic (four systems) angles, can quickly present the problem of network short boards according to the system algorithm, and has the advantages of simple and clear result presentation, time and labor saving and low requirement on the skill level of operators.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
Finally, it should also be 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 an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The target network quality evaluation method and the target network quality evaluation device provided by the invention are described in detail, and the principle and the implementation mode of the invention are explained by applying specific examples, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A target network quality assessment method, comprising:
acquiring data to be detected;
selecting one or more target quality evaluation algorithms from a plurality of preset quality evaluation algorithms; the quality evaluation algorithm comprises at least one of an overlapping coverage evaluation algorithm, a modulo three interference evaluation algorithm, a continuous quality difference evaluation algorithm and a neighboring cell evaluation algorithm;
acquiring a target threshold value corresponding to the target quality evaluation algorithm;
acquiring sampling points meeting preset conditions from the data to be detected according to the target threshold value;
determining a score corresponding to each sampling point;
and determining the quality evaluation result of the target network according to the score.
2. The method according to claim 1, wherein when the target quality evaluation algorithm is an overlapping coverage evaluation algorithm, the target threshold includes a serving cell reference signal received power threshold and a difference threshold between the serving cell reference signal received power and a reference signal received power of a co-frequency neighboring cell, and the step of obtaining the sampling points meeting a preset condition from the data to be detected according to the target threshold includes:
selecting overlapping coverage sampling points which accord with the receiving power threshold of the reference signal of the service cell and the receiving power difference threshold of the reference signal of the same-frequency adjacent cell from the data to be detected;
the step of determining a score corresponding to each of the sampling points includes:
acquiring an overlapping coverage index corresponding to each overlapping coverage sampling point;
determining a corresponding overlapping coverage index score according to a first preset algorithm according to each overlapping coverage index;
the step of determining a quality evaluation result of the target network according to the score includes:
and determining the quality evaluation result of the target network in the aspect of overlapping coverage according to each overlapping coverage index score.
3. The method according to claim 1, wherein when the target quality evaluation algorithm is the modulo three interference evaluation algorithm, the target threshold includes a reference signal received power difference threshold when a PCI (Physical cell identity) modulo three values of an intra-frequency primary serving cell and an adjacent cell are equal, and the step of obtaining a sampling point meeting a preset condition from the data to be detected according to the target threshold includes:
selecting a module three interference sampling point which accords with a reference signal receiving power difference threshold of the same-frequency main service cell and the adjacent cell under the condition that PCI module three values are equal from the data to be detected;
the step of determining a score corresponding to each of the sampling points includes:
acquiring a module three interference index corresponding to each module three interference sampling point;
determining a corresponding modulo three interference index score according to a second preset algorithm according to each modulo three interference index;
the step of determining a quality evaluation result of the target network according to the score includes:
and determining the quality evaluation result of the target network in the aspect of the modulo three interference according to each modulo three interference index score.
4. The method according to claim 1, wherein when the target quality evaluation algorithm is the continuous quality evaluation algorithm, the target threshold value includes a serving cell reference signal received power threshold value or a signal-to-interference-plus-noise ratio threshold value, and satisfies a distance continuous threshold, and the step of obtaining the sampling points meeting a preset condition from the data to be detected according to the target threshold value comprises:
selecting continuous quality difference sampling points which accord with the receiving power threshold value of the reference signal of the service cell or the signal-to-interference-plus-noise ratio threshold value and meet the distance continuous threshold from the data to be detected;
the step of determining a score corresponding to each of the sampling points includes:
acquiring a continuous quality difference index corresponding to each continuous quality difference sampling point;
determining a corresponding continuous quality difference index score according to a third preset algorithm according to each continuous quality difference index;
the step of determining a quality evaluation result of the target network according to the score includes:
and determining the network quality evaluation result of the target network in the aspect of continuous quality difference according to each continuous quality difference index score.
5. The method according to claim 1, wherein when the target quality evaluation algorithm is the neighboring cell evaluation algorithm, the target threshold includes a neighboring cell missing threshold and a redundant neighboring cell threshold, and the step of obtaining the sampling points meeting the preset condition from the data to be detected according to the target threshold includes:
selecting adjacent cell sampling points which accord with the adjacent cell missing threshold value and the redundant adjacent cell threshold value from the data to be detected;
the step of determining a score corresponding to each of the sampling points includes:
determining corresponding adjacent cell scores according to a fourth preset algorithm according to each adjacent cell sampling point;
the step of determining a quality evaluation result of the target network according to the score includes:
and determining the network quality evaluation result of the target network in the neighboring area according to the neighboring area score.
6. A target network quality assessment apparatus, comprising:
the data acquisition module to be detected is used for acquiring data to be detected;
the evaluation algorithm selection module is used for selecting one or more target quality evaluation algorithms from a plurality of preset quality evaluation algorithms; the quality evaluation algorithm comprises at least one of an overlapping coverage evaluation algorithm, a modulo three interference evaluation algorithm, a continuous quality difference evaluation algorithm and a neighboring cell evaluation algorithm;
a threshold value obtaining module, configured to obtain a target threshold value corresponding to the target quality evaluation algorithm;
the sampling point acquisition module is used for acquiring sampling points which accord with preset conditions from the data to be detected according to the target threshold value;
the score determining module is used for determining the score corresponding to each sampling point;
and the quality evaluation result determining module is used for determining the quality evaluation result of the target network according to the score.
7. The apparatus of claim 6, wherein when the target quality evaluation algorithm is an overlapping coverage evaluation algorithm, the target threshold values comprise a serving cell reference signal received power threshold and a difference threshold with a reference signal received power of a co-frequency neighboring cell, and the sampling point obtaining module comprises:
the first sampling point selection submodule is used for selecting overlapping coverage sampling points which accord with the receiving power threshold of the reference signal of the service cell and the difference threshold of the receiving power of the reference signal of the same-frequency adjacent cell from the data to be detected;
the score determination module includes:
a coverage index obtaining submodule for obtaining an overlapping coverage index corresponding to each overlapping coverage sampling point;
the index score determining submodule is used for determining corresponding overlapping coverage index scores according to a first preset algorithm and each overlapping coverage index;
the quality evaluation result determination module includes:
and the first quality evaluation result determining submodule is used for determining the quality evaluation result of the target network in the aspect of overlapping coverage according to each overlapping coverage index score.
8. The apparatus of claim 6, wherein when the target quality evaluation algorithm is the modulo three interference evaluation algorithm, the target threshold value comprises a reference signal received power difference threshold of an intra-frequency primary serving cell and a neighboring cell when PCI (Physical cell identity) modulo three values are equal, and the sampling point obtaining module comprises:
the second sampling point selection submodule is used for selecting a mode three interference sampling point which accords with a reference signal receiving power difference threshold of the same-frequency main service cell and an adjacent cell under the condition that PCI mode three values are equal from the data to be detected;
the score determination module includes:
the interference index acquisition submodule is used for acquiring a module three interference index corresponding to each module three interference sampling point;
the interference index score determining submodule is used for determining a corresponding module three interference index score according to a second preset algorithm according to each module three interference index;
the quality evaluation result determination module includes:
and the second quality evaluation result determining submodule is used for determining the quality evaluation result of the target network in the aspect of the modulo three interference according to each modulo three interference index score.
9. The apparatus of claim 6, wherein when the target quality assessment algorithm is the continuous quality assessment algorithm, the target threshold value comprises a serving cell reference signal received power threshold value or a signal to interference plus noise ratio threshold value, and a distance continuous threshold is satisfied, the sample point obtaining module comprises:
a third sampling point selection submodule, configured to select, from the data to be detected, a continuous quality difference sampling point that meets a threshold value of a received power of a reference signal of the serving cell or a threshold value of a signal-to-interference-plus-noise ratio and meets a distance continuous threshold;
the score determination module includes:
the quality difference index acquisition sub-module is used for acquiring the continuous quality difference indexes corresponding to the continuous quality difference sampling points;
the quality difference index score determining submodule is used for determining corresponding continuous quality difference index scores according to a third preset algorithm and each continuous quality difference index;
the quality evaluation result determination module includes:
and the third quality evaluation result determining submodule is used for determining the network quality evaluation result of the target network in the aspect of continuous quality difference according to each continuous quality difference index score.
10. The apparatus of claim 6, wherein when the target quality evaluation algorithm is the neighbor evaluation algorithm, the target threshold comprises a neighbor missing threshold and a redundant neighbor threshold, and the sample point obtaining module comprises:
the fourth sampling point selection sub-module is used for selecting the adjacent cell sampling points which accord with the adjacent cell missing threshold value and the redundant adjacent cell threshold value from the data to be detected;
the score determination module includes:
the adjacent cell score determining sub-module is used for determining corresponding adjacent cell scores according to a fourth preset algorithm and according to each adjacent cell sampling point;
the quality evaluation result determination module includes:
and the fourth quality evaluation result determining submodule is used for determining the network quality evaluation result of the target network in the adjacent area according to the score of the adjacent area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811291701.XA CN111130831A (en) | 2018-10-31 | 2018-10-31 | Target network quality evaluation method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811291701.XA CN111130831A (en) | 2018-10-31 | 2018-10-31 | Target network quality evaluation method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111130831A true CN111130831A (en) | 2020-05-08 |
Family
ID=70494255
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811291701.XA Pending CN111130831A (en) | 2018-10-31 | 2018-10-31 | Target network quality evaluation method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111130831A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114363925A (en) * | 2021-12-16 | 2022-04-15 | 北京红山信息科技研究院有限公司 | Network quality difference automatic identification method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012064250A1 (en) * | 2010-11-08 | 2012-05-18 | Telefonaktiebolaget L M Ericsson (Publ) | Measurement requesting and reporting |
| CN104168586A (en) * | 2014-08-06 | 2014-11-26 | 武汉虹翼信息有限公司 | LTE inter-network interference investigation method and device |
| CN104853379A (en) * | 2014-02-18 | 2015-08-19 | 中国移动通信集团公司 | Wireless network quality assessment method and device |
| CN106358213A (en) * | 2016-09-22 | 2017-01-25 | 中国联合网络通信集团有限公司 | Indoor distribution system evaluation method and indoor distribution system evaluation device |
| CN108012279A (en) * | 2016-11-01 | 2018-05-08 | 中国移动通信集团公司 | A kind of neighbor cell optimizing method and device |
-
2018
- 2018-10-31 CN CN201811291701.XA patent/CN111130831A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012064250A1 (en) * | 2010-11-08 | 2012-05-18 | Telefonaktiebolaget L M Ericsson (Publ) | Measurement requesting and reporting |
| CN104853379A (en) * | 2014-02-18 | 2015-08-19 | 中国移动通信集团公司 | Wireless network quality assessment method and device |
| CN104168586A (en) * | 2014-08-06 | 2014-11-26 | 武汉虹翼信息有限公司 | LTE inter-network interference investigation method and device |
| CN106358213A (en) * | 2016-09-22 | 2017-01-25 | 中国联合网络通信集团有限公司 | Indoor distribution system evaluation method and indoor distribution system evaluation device |
| CN108012279A (en) * | 2016-11-01 | 2018-05-08 | 中国移动通信集团公司 | A kind of neighbor cell optimizing method and device |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114363925A (en) * | 2021-12-16 | 2022-04-15 | 北京红山信息科技研究院有限公司 | Network quality difference automatic identification method |
| CN114363925B (en) * | 2021-12-16 | 2023-10-24 | 北京红山信息科技研究院有限公司 | Automatic network quality difference identification method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109996186B (en) | Network coverage problem identification method and device and readable storage medium | |
| CN108156626B (en) | Rail transit wireless network quality evaluation method, device and medium | |
| CN104853379B (en) | A kind of quality of wireless network appraisal procedure and device | |
| EP0982964B1 (en) | Pattern recognition-based geolocation | |
| EP2250832B1 (en) | Method and system for optimizing the configuration of a wireless mobile communications network | |
| CN108462966B (en) | 2G network-based high-speed rail cell RRU positioning and identifying method and system | |
| CN111356147B (en) | Method and device for positioning faults of indoor partition cells | |
| CN108093427B (en) | VoLTE service quality evaluation method and system | |
| WO2021103577A1 (en) | Mdt-based indoor signal leakage analysis method and system | |
| CN111278040A (en) | Interference source positioning method, device, equipment and computer storage medium | |
| CN111263389A (en) | Method and device for automatically positioning Volte voice quality problem | |
| CN111866847B (en) | Mobile communication network data analysis method, equipment and computer storage medium | |
| CN113645625B (en) | Pseudo base station positioning method, pseudo base station positioning device, electronic equipment and readable medium | |
| CN107371183B (en) | Method and device for outputting network quality report | |
| WO2016090841A1 (en) | Gsm network switching failure management method and device | |
| CN111459702A (en) | Indoor distribution system fault monitoring method and device based on MDT data | |
| CN109995563B (en) | Cell positioning method, device, equipment and medium for communication network switching failure | |
| CN106998563B (en) | Indoor distribution system early warning method and device based on network performance | |
| CN103686895A (en) | Switching control method, wireless network controller and access node | |
| CN111130831A (en) | Target network quality evaluation method and device | |
| CN108134703B (en) | Network cell hidden danger fault prediction analysis method and device | |
| CN114095854B (en) | Indoor network interference source positioning method based on MDT data and electronic equipment | |
| WO2021008393A1 (en) | Method and system for identifying coverage black hole of wireless cell | |
| CN113873431B (en) | Building network quality presentation method and device | |
| CN116567519A (en) | Method and device for acquiring quality information of signal network of home mobile phone of user |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200508 |
|
| RJ01 | Rejection of invention patent application after publication |