CN111294249A - Method and device for determining one-way problem - Google Patents
Method and device for determining one-way problem Download PDFInfo
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- CN111294249A CN111294249A CN201811490223.5A CN201811490223A CN111294249A CN 111294249 A CN111294249 A CN 111294249A CN 201811490223 A CN201811490223 A CN 201811490223A CN 111294249 A CN111294249 A CN 111294249A
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- H—ELECTRICITY
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- H—ELECTRICITY
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Abstract
The invention discloses a method and a device for determining a one-way problem, aiming at the problems of low determining efficiency and incomplete identification of the one-way problem in the prior art. The method comprises the following steps: acquiring N wireless indexes of a cell; acquiring K wireless indexes from the N wireless indexes according to a correlation algorithm; determining the single-pass probability of the cell according to the K wireless indexes; if the single-pass probability of the cell is greater than a first probability threshold, carrying out real-time transport protocol (RTP) data packet test on the voice quality test MOS recording file of the cell; and determining whether the cell has single pass or not according to the result of the RTP data packet test on the cell port. The single-pass probability of the cell determined by the K wireless indexes screened by the correlation algorithm is more reliable, and when the single-pass probability of the cell is greater than a first probability threshold, an RTP data packet test is performed, so that the cost for determining the single-pass problem of the cell is saved.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a method and an apparatus for determining a one-way problem.
Background
Currently, a Voice over Long-Term Evolution (VoLTE) one-way problem has become a key reason for influencing user perception, and in the prior art, the one-way problem is mainly located through RTP packet loss rate and RTP packet interval duration, or through External Data Representation (XDR) file backtracking and manual retesting. First, the existing device can only identify a single-pass during a call, but cannot identify a single-pass during an initial call and a call completion. Secondly, the single-pass problem can be positioned only by performing correlation analysis on XDR file backtracking, manual retest and a telephone system log, so that the efficiency is low.
Therefore, the problems of low determination efficiency and incomplete identification of the single-pass problem in the prior art are a problem to be solved urgently.
Disclosure of Invention
The embodiment of the application provides a method and a device for determining a single-pass problem, and solves the problems that in the prior art, the single-pass problem is low in determination efficiency and incomplete in identification.
The embodiment of the invention provides a method for determining a one-way problem, which comprises the following steps:
acquiring N wireless indexes of a cell; n is a positive integer;
acquiring K wireless indexes of which the correlation coefficient with the first index is larger than a first coefficient threshold value from the N wireless indexes according to a correlation algorithm; k is a positive integer;
determining the single-pass probability of the cell according to the K wireless indexes;
if the single-pass probability of the cell is greater than a first probability threshold, carrying out real-time transport protocol (RTP) data packet test on the voice quality test MOS recording file of the cell;
and determining whether the cell has single pass or not according to the result of the RTP data packet test on the cell.
Optionally, the determining the single-pass probability of the cell according to the K wireless indexes includes:
determining a quality inflection point threshold of the K wireless indexes according to the statistical data of the K wireless indexes; each quality inflection point threshold of each wireless index in the K wireless indexes is used for determining corresponding one-way probability when the wireless index is smaller than the quality inflection point threshold;
determining a one-way probability matrix according to the quality inflection point threshold of the K wireless indexes; the single-pass probability comprises K lines, and the element of each line in the K lines is a quality inflection point threshold of the corresponding wireless index in the K wireless indexes;
and determining the single-pass probability of the cell according to the corresponding probability of the current numerical value of each wireless index in the K wireless indexes of the cell in the single-pass probability matrix.
Optionally, after determining the single-pass probability of the cell, the method further includes:
performing convolution operation on the single-pass probability matrix; the convolution operation result of the single-pass probability matrix comprises an influence factor of each wireless index in the K wireless indexes influencing the single pass of the cell;
and determining the wireless indexes of which the influence factors are greater than a first factor threshold value in the K wireless indexes according to the convolution operation result of the single-pass probability matrix.
Optionally, determining whether the cell has single pass according to a result of performing an RTP packet test on the cell port includes:
the result of the RTP packet test includes at least one of the following indicators: RTP packet loss rate, RTP data packet number and RTP data packet time interval;
if any index of the RTP data packet test result is larger than the threshold value of the index, determining the single pass of the cell; otherwise, determining that the cell has no single pass.
Optionally, the correlation algorithm is a Spearman correlation algorithm;
the first index is an RTP data packet, and a correlation coefficient between each wireless index in the N wireless indexes and the RTP data packet is determined according to the Spearman correlation algorithm;
and taking the wireless index with the correlation coefficient larger than the first coefficient threshold value in the N wireless indexes as the K wireless indexes.
According to the embodiment of the invention, K wireless indexes with correlation coefficients larger than a first coefficient threshold value are obtained according to the N wireless indexes of the cell and a correlation algorithm, the single-pass probability of the cell determined according to the K wireless indexes is more reliable, the cell with the single-pass problem is primarily screened out, and when the single-pass probability of the cell is larger than a first probability threshold value, a real-time transport protocol RTP (RTP) data packet test is carried out on the MOS recording file for voice quality test of the cell, so that the efficiency of determining the single-pass problem of the cell is improved.
The embodiment of the invention provides a device for determining a one-way problem, which comprises:
the acquisition module is used for acquiring N wireless indexes of the cell; n is a positive integer;
the processing module is used for acquiring K wireless indexes of which the correlation coefficient with the first index is greater than a first coefficient threshold value from the N wireless indexes according to a correlation algorithm; k is a positive integer;
the single-pass probability of the cell is determined according to the K wireless indexes;
the method comprises the steps that if the single-pass probability of the cell is larger than a first probability threshold, a real-time transport protocol (RTP) data packet test is carried out on a voice quality test MOS recording file of the cell;
and determining whether the cell has single pass according to the result of the RTP data packet test on the cell.
Optionally, the processing module is specifically configured to:
determining a quality inflection point threshold of the K wireless indexes according to the statistical data of the K wireless indexes; each quality inflection point threshold of each wireless index in the K wireless indexes is used for determining corresponding one-way probability when the wireless index is smaller than the quality inflection point threshold;
determining a one-way probability matrix according to the quality inflection point threshold of the K wireless indexes; the single-pass probability comprises K lines, and the element of each line in the K lines is a quality inflection point threshold of the corresponding wireless index in the K wireless indexes;
and determining the single-pass probability of the cell according to the corresponding probability of the current numerical value of each wireless index in the K wireless indexes of the cell in the single-pass probability matrix.
Optionally, the processing module is further configured to:
performing convolution operation on the single-pass probability matrix; the convolution operation result of the single-pass probability matrix comprises an influence factor of each wireless index in the K wireless indexes influencing the single pass of the cell;
and determining the wireless indexes of which the influence factors are greater than a first factor threshold value in the K wireless indexes according to the convolution operation result of the single-pass probability matrix.
Optionally, the processing module is specifically configured to:
the result of the RTP packet test includes at least one of the following indicators: RTP packet loss rate, RTP data packet number and RTP data packet time interval;
if any index of the RTP data packet test result is larger than the threshold value of the index, determining the single pass of the cell; otherwise, determining that the cell has no single pass.
Optionally, the processing module is specifically configured to:
the correlation algorithm is a Spearman correlation algorithm;
the first index is an RTP data packet, and a correlation coefficient between each wireless index in the N wireless indexes and the RTP data packet is determined according to the Spearman correlation algorithm;
and taking the wireless index with the correlation coefficient larger than the first coefficient threshold value in the N wireless indexes as the K wireless indexes.
Drawings
Fig. 1 is a block architecture diagram corresponding to a method for determining a one-way problem according to an embodiment of the present invention;
fig. 2 is a specific architecture diagram of a data acquisition module corresponding to a method for determining a one-way problem according to an embodiment of the present invention;
fig. 3 is a flowchart of steps corresponding to a method for determining a one-way problem according to an embodiment of the present invention;
fig. 4 is a specific architecture diagram of a single-pass probability determination module corresponding to a method for determining a single-pass problem according to an embodiment of the present invention;
fig. 5 is a specific architecture diagram of a single-pass probability verification module corresponding to a method for determining a single-pass problem according to an embodiment of the present invention;
fig. 6 is a diagram illustrating a test effect of an RTP packet corresponding to a method for determining a one-way problem according to an embodiment of the present invention;
fig. 7 is a specific architecture diagram of a single-pass analysis optimization module corresponding to a method for determining a single-pass problem according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a device for determining a one-way problem according to an embodiment of the present invention.
Detailed Description
In order to better understand the technical solutions, the technical solutions will be described in detail below with reference to the drawings and the specific embodiments of the specification, and it should be understood that the specific features in the embodiments and examples of the present application are detailed descriptions of the technical solutions of the present application, but not limitations of the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.
Currently, a Voice over Long-Term Evolution (VoLTE) one-way problem has become a key cause influencing user perception, and the discovery and positioning means in the industry are not accurate enough. In daily work, the conventional device mainly finds the one-way problem through Real-time Transport Protocol (RTP) packet loss rate and RTP packet interval duration, and positions the one-way problem through External Data Representation (XDR) file backtracking and manual retesting.
The main disadvantages of the single-pass problem of positioning by adopting the RTP packet loss rate or the RTP packet interval duration are as follows: (1) the single-pass problem identification is not comprehensive: the existing device can only identify the single-pass in the conversation process, but can not identify the single-pass of the conversation starting call and the conversation ending. (2) The problem cannot be located: the existing device can locate the single-pass problem only by mainly carrying out correlation analysis through XDR file backtracking, manual retest and telephone system logs, and the efficiency is low. (3) The problem of single pass cannot be found in advance: the existing problems can only be analyzed based on the existing device, the problem cell with high single-pass probability cannot be found in advance, and the perception of the user is difficult to guarantee.
With the more and more mature of the LTE network, the number of VoLTE users increases, and a single call in a VoLTE call affects the operation quality of the network, which is easy to cause complaints of the users and reduces the satisfaction index of the users. However, the defects of the prior art can not comprehensively identify the single-pass problem, can not position the problem, and can not solve the problem of the single-pass problem in advance, so that the difficulty of work development is high, and the problem positioning analysis efficiency is low.
Aiming at the problems, the embodiment of the invention establishes a one-way inflection point algorithm and a one-way probability matrix by combining the collected test data analysis, the existing data correlation analysis and the practice verification, establishes a one-way verification algorithm and a module based on the collection and analysis of a large amount of test data, and realizes the pre-discovery, accurate identification and accurate analysis of the VoLTE service one-way problem.
As shown in fig. 1, a module architecture diagram corresponding to a method for determining a one-way problem according to an embodiment of the present invention is provided.
The data acquisition module 101 is configured to acquire session data, Measurement Report (MR) data, and data (hereinafter referred to as GM/S1-U port data) acquired through a user plane interface S1-U under a Gray Model (GM). Wherein the user plane interface S1-u is used for connecting the base station and the serving gateway for transferring user data and corresponding user plane control frames. The process is automated.
And a single-pass probability determining module 102, configured to analyze the data of the cell from the data acquired by the data acquiring module 101, output a single-pass probability of the cell, and output an analysis result and an optimization scheme for the high-probability cell. The process is automated.
And the single-pass verification module 103 is used for outputting the single-pass cell according to the collected Gm/S1-u port data.
And the single-pass analysis optimization module 104 is configured to automatically output the single-pass analysis result and the optimization scheme according to the single-pass cell output by the single-pass verification module.
The modules 101 to 104 will be described in detail below.
Fig. 2 is a specific architecture diagram of a data acquisition module corresponding to the method for determining a one-way problem according to the embodiment of the present invention.
And the MR data acquisition module 201 is used for automatically completing data acquisition such as MR coverage and the like.
And the speech system data acquisition module 202 is used for automatically completing acquisition of relevant speech system index data such as interference, uplink CCE allocation failure rate, maximum user number, RRC reestablishment times, uplink PRB utilization rate, CCE utilization rate and the like.
And the Gm/S1-u port data acquisition module 203 is used for automatically completing acquisition of RTP data packets.
And the data preprocessing module 204 is used for acquiring data and performing normalization preprocessing on the acquired data.
And a data output module 205 for outputting a data format available for the analysis application, and storing the data format in the database.
Fig. 3 is a flowchart of steps corresponding to a method for determining a one-way problem according to an embodiment of the present invention.
Step 301: n wireless indexes of the cell are obtained.
N is a positive integer.
Step 302: and acquiring K wireless indexes from the N wireless indexes according to a correlation algorithm.
K is a positive integer.
Step 303: and determining the single-pass probability of the cell according to the K wireless indexes.
Step 304: and if the single-pass probability of the cell is greater than a first probability threshold, carrying out real-time transport protocol (RTP) data packet test on the voice quality test MOS recording file of the cell.
Step 305: and determining whether the cell has single pass or not according to the result of the RTP data packet test on the cell port.
As shown in fig. 4, a specific architecture diagram of a single-pass probability determination module corresponding to a method for determining a single-pass problem provided in the embodiment of the present invention is shown.
An index obtaining module 401, configured to obtain N wireless indexes of a cell.
An index screening module 402, configured to obtain K wireless indexes from the N wireless indexes.
A quality inflection point threshold determination module 403, configured to determine a quality inflection point threshold of the K wireless indicators.
A single pass matrix determination module 404 for determining a single pass probability matrix.
A single pass probability determination module 405, configured to determine a current single pass probability of the cell.
In step 301, N radio indicators of a cell are obtained by the indicator obtaining module 401.
The N wireless metrics include at least one of: the cell includes Physical Resource Block (PRB) interference, a Control Channel Element (CCE) allocation failure rate, a maximum number of users, Radio Resource Control (RRC) reestablishment times, a coverage rate, an uplink PRB utilization rate, and a CCE utilization rate.
In step 302, K wireless indicators obtained from the N wireless indicators according to a correlation algorithm are obtained by the indicator screening module 402.
One possible implementation is to calculate the correlation between the wireless indicator and the single pass by means of the Spearman correlation algorithm, which has the following formula:
where ρ is the correlation coefficient and xi, yi are two random variables.
Rho can reach +1 or-1, the larger the absolute value of rho is, the stronger the correlation is, and when the absolute value of rho is more than 0.8, the strong correlation is obtained. The two random variables are X, Y (which can also be regarded as two sets), the number of elements is N, and the i (1 ═ i ═ N) th values of the two random variables are represented by Xi and Yi, respectively. X, Y are sorted (in ascending or descending order) to obtain two element sorting sets X and Y, where the elements Xi and Yi are respectively the rows of Xi in X and the rows of Yi in Y.
In step 303, determining a single-pass probability of the cell according to the K wireless indexes, in one possible implementation manner, determining a quality inflection point threshold of the K wireless indexes according to statistical data of the K wireless indexes; each quality inflection point threshold of each of the K wireless indexes is used for determining, and the corresponding one-way probability when the wireless index is smaller than the quality inflection point threshold is executed by the quality inflection point threshold determining module 403.
Determining a one-way probability matrix according to the quality inflection point threshold of the K wireless indexes; the single-pass probability includes K rows, and each row of the K rows has an element of a quality inflection point threshold of a corresponding wireless indicator in the K wireless indicators, and is determined by the single-pass matrix determining module 404.
The single pass probability of the cell is determined according to the probability corresponding to the current value of each of the K wireless indexes of the cell in the single pass probability matrix, and is determined by a single pass probability determination module 405.
The specific embodiment of the step is illustrated by the following index, namely when K is 7: the method comprises the following steps of uplink Physical Resource Block (PRB) interference of a cell, uplink Channel Control Element (CCE) allocation failure rate, the maximum number of users, Radio Resource Control (RRC) reconstruction times, coverage rate, uplink PRB utilization rate and CCE utilization rate.
Through a large amount of data analysis, indexes related to single-pass strength are found out, and inflection points of 7 extremely strong related indexes, namely interference, an uplink CCE (control channel element) distribution failure rate, the maximum user number, RRC (radio resource control) reconstruction times, a coverage rate, an uplink PRB (physical resource block) utilization rate and a CCE (control channel element) utilization rate, are calculated when the single-pass probabilities are 50%, 60% and 70%.
For example, when the probability of single pass occurrence in a cell is 50%, 60%, and 70%, respectively, the inflection point threshold of each very strong correlation index is as follows:
the quality inflection point thresholds of uplink PRB interference are respectively as follows: -102, -87, -83;
the quality inflection point thresholds of the uplink CCE allocation failure rate are respectively as follows: 28%, 62%, 65%;
the quality inflection point thresholds of the maximum number of users are respectively as follows: 90,210, 280;
the quality inflection point thresholds of the RRC reestablishment times are respectively as follows: 900,2000, 3800;
the quality inflection point thresholds of the coverage rate are respectively as follows: 70%, 62%, 48%;
the quality inflection point thresholds of the uplink PRB utilization rate are respectively as follows: 17%, 24%, 31%;
the quality inflection point thresholds of the CCE utilization rate are respectively as follows: 27%, 34%, 40%.
Dividing index intervals:
interference: (∞, -110), (-110, -105), (-105, -100), (-100, + ∞);
coverage rate interval: (0, 20% ], (20% -40% ], (40% -60% ], (60%, 80% ], (80%, 100% ]);
uplink PRB utilization interval: (0, 20% ], (20% -40% ], (40% -60% ], (60%, 80% ], (80%, 100% ]);
the maximum number of users in a cell: (0,90], (90,210], (210,280], (280, + ∞);
cell CCE allocation failure rate interval: (0, 20% ], (20% -40% ], (40% -60% ], (60%, 80% ], (80%, 100% ]);
CCE utilization interval: (0, 20% ], (20% -40% ], (40% -60% ], (60%, 80% ], (80%, 100% ]);
RRC reestablishment request interval: (0,900], (900,2000], (2000,3800], (3800, + ∞).
Data such as MR, speech system and the like are manually collected, a four-dimensional seven-element one-way probability matrix is imported, a high-single-way probability cell is output, a one-way pre-discovery method is formed, advance optimization is carried out, the potential one-way problem is solved, and user perception is improved.
In step 304, optionally, the result of the RTP packet test includes at least one of the following indicators: RTP packet loss rate, RTP data packet number and RTP data packet time interval;
if any index of the RTP data packet test result is larger than the threshold value of the index, determining the single pass of the cell; otherwise, determining that the cell has no single pass.
In step 305, as shown in fig. 5, a specific architecture diagram of a single-pass probability verification module corresponding to a method for determining a single-pass problem according to the embodiment of the present invention is shown.
The data obtaining module 501 is configured to obtain a voice quality test MOS recording file in different scenarios, such as weak coverage, interference, and large telephone traffic.
The MOS test module 502: and carrying out RTP data packet test on the MOS recording file.
Test result analysis module 503: and analyzing the RTP packet and the wireless environment characteristics of the perception single-pass problem.
One-pass authentication algorithm module 504: and defining a single-pass algorithm through the characteristics of the single-pass problem RTP packet to form a single-pass verification algorithm.
Wherein, the one-pass verification algorithm comprises:
RTP packet loss rate: the RTP packet loss rate is more than 80% in 5 seconds;
the number of RTP packets is as follows: the number of RTP packets received by RTP in 5 seconds is less than 7;
RTP packet time interval: the interval between two adjacent RTP packets is more than 5 seconds;
the tail part has no package: and the time from the last RTP packet to BYE is more than 5 seconds before the conversation is finished.
A cell satisfying any of the above conditions is determined to be single pass, and fig. 6 is a test effect diagram of an RTP packet corresponding to the method for determining a single pass problem according to the embodiment of the present invention.
After step 305, optionally, performing convolution operation on the single pass probability matrix; the convolution operation result of the single-pass probability matrix comprises an influence factor of each wireless index in the K wireless indexes influencing the single pass of the cell;
and determining the wireless indexes of which the influence factors are greater than a first factor threshold value in the K wireless indexes according to the convolution operation result of the single-pass probability matrix.
As shown in fig. 7, a specific architecture diagram of a single-pass analysis optimization module corresponding to a method for determining a single-pass problem according to an embodiment of the present invention is shown.
The single-pass problem determination module 701 analyzes data of each stage of an RTP data packet through data of an S1-U port and a Gm port to delimit a single-pass problem of a cell.
The single-pass cause determining module 702 analyzes the inflection point of the single-pass inflection point algorithm to find out the cause of the single-pass, and completes the positioning of the single-pass cell problem.
And the single-pass optimization module 703 adjusts the corresponding wireless index according to the reason of the single pass.
Compared with other single-pass problem identification and positioning methods, the embodiment of the invention has the following advantages: (1) the single-pass problem can be accurately identified; (2) the correlation algorithm of the wireless indexes and the single pass is realized, and the probability of the single pass of the cell is accurately predicted. (3) The single-pass risk is found in advance, pre-intervention is carried out, the single-pass occurrence probability is reduced, and the user perception problem is improved. (4) A one-way problem three-step positioning analysis method is formed, the problem causes are visually presented, the problem that the manual problem positioning period is long is avoided, and the work efficiency is obviously improved.
According to the embodiment of the invention, the K wireless indexes are obtained according to the N wireless indexes of the cell and the correlation algorithm, the single-pass probability of the cell determined according to the K wireless indexes is more reliable, the cell with the single-pass problem is primarily screened out, and when the single-pass probability of the cell is greater than a first probability threshold value, the real-time transmission protocol RTP data packet test is carried out on the MOS recording file for voice quality test of the cell, so that the cost for determining the single-pass problem of the cell is saved.
As shown in fig. 8, an apparatus for determining a one-way problem according to an embodiment of the present invention includes:
an obtaining module 801, configured to obtain N wireless indexes of a cell; n is a positive integer;
a processing module 802, configured to obtain, according to a correlation algorithm, K wireless indicators, of which correlation coefficients with a first indicator are greater than a first coefficient threshold, from the N wireless indicators; k is a positive integer;
the single-pass probability of the cell is determined according to the K wireless indexes;
the method comprises the steps that if the single-pass probability of the cell is larger than a first probability threshold, a real-time transport protocol (RTP) data packet test is carried out on a voice quality test MOS recording file of the cell;
and determining whether the cell has single pass according to the result of the RTP data packet test on the cell.
Optionally, the processing module 802 is specifically configured to:
determining a quality inflection point threshold of the K wireless indexes according to the statistical data of the K wireless indexes; each quality inflection point threshold of each wireless index in the K wireless indexes is used for determining corresponding one-way probability when the wireless index is smaller than the quality inflection point threshold;
determining a one-way probability matrix according to the quality inflection point threshold of the K wireless indexes; the single-pass probability comprises K lines, and the element of each line in the K lines is a quality inflection point threshold of the corresponding wireless index in the K wireless indexes;
and determining the single-pass probability of the cell according to the corresponding probability of the current numerical value of each wireless index in the K wireless indexes of the cell in the single-pass probability matrix.
Optionally, the processing module 802 is further configured to:
performing convolution operation on the single-pass probability matrix; the convolution operation result of the single-pass probability matrix comprises an influence factor of each wireless index in the K wireless indexes influencing the single pass of the cell;
and determining the wireless indexes of which the influence factors are greater than a first factor threshold value in the K wireless indexes according to the convolution operation result of the single-pass probability matrix.
Optionally, the processing module 802 is specifically configured to:
the result of the RTP packet test includes at least one of the following indicators: RTP packet loss rate, RTP data packet number and RTP data packet time interval;
if any index of the RTP data packet test result is larger than the threshold value of the index, determining the single pass of the cell; otherwise, determining that the cell has no single pass.
Optionally, the processing module 802 is specifically configured to:
the correlation algorithm is a Spearman correlation algorithm;
the first index is an RTP data packet, and a correlation coefficient between each wireless index in the N wireless indexes and the RTP data packet is determined according to the Spearman correlation algorithm;
and taking the wireless index with the correlation coefficient larger than the first coefficient threshold value in the N wireless indexes as the K wireless indexes.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A method for determining a one-way problem, comprising:
acquiring N wireless indexes of a cell; n is a positive integer;
acquiring K wireless indexes of which the correlation coefficient with the first index is larger than a first coefficient threshold value from the N wireless indexes according to a correlation algorithm; k is a positive integer;
determining the single-pass probability of the cell according to the K wireless indexes;
if the single-pass probability of the cell is greater than a first probability threshold, carrying out real-time transport protocol (RTP) data packet test on the voice quality test MOS recording file of the cell;
and determining whether the cell has single pass or not according to the result of the RTP data packet test on the cell.
2. The method of claim 1, wherein the determining the single-pass probability for the cell based on the K radio indicators comprises:
determining a quality inflection point threshold of the K wireless indexes according to the statistical data of the K wireless indexes; each quality inflection point threshold of each wireless index in the K wireless indexes is used for determining corresponding one-way probability when the wireless index is smaller than the quality inflection point threshold;
determining a one-way probability matrix according to the quality inflection point threshold of the K wireless indexes; the single-pass probability comprises K lines, and the element of each line in the K lines is a quality inflection point threshold of the corresponding wireless index in the K wireless indexes;
and determining the single-pass probability of the cell according to the corresponding probability of the current numerical value of each wireless index in the K wireless indexes of the cell in the single-pass probability matrix.
3. The method of claim 2, wherein the determining the single pass probability for the cell further comprises:
performing convolution operation on the single-pass probability matrix; the convolution operation result of the single-pass probability matrix comprises an influence factor of each wireless index in the K wireless indexes influencing the single pass of the cell;
and determining the wireless indexes of which the influence factors are greater than a first factor threshold value in the K wireless indexes according to the convolution operation result of the single-pass probability matrix.
4. The method of any of claims 1-3, wherein determining whether a single pass exists for the cell based on the result of the RTP packet test for the cell port comprises:
the result of the RTP packet test includes at least one of the following indicators: RTP packet loss rate, RTP data packet number and RTP data packet time interval;
if any index of the RTP data packet test result is larger than the threshold value of the index, determining the single pass of the cell; otherwise, determining that the cell has no single pass.
5. The method according to any one of claims 1 to 3, wherein the obtaining K wireless indexes with correlation coefficients larger than a first coefficient threshold value from the N wireless indexes according to a correlation algorithm comprises:
the correlation algorithm is a Spearman correlation algorithm;
the first index is an RTP data packet, and a correlation coefficient between each wireless index in the N wireless indexes and the RTP data packet is determined according to the Spearman correlation algorithm;
and taking the wireless index with the correlation coefficient larger than the first coefficient threshold value in the N wireless indexes as the K wireless indexes.
6. An apparatus for determining a one-way problem, comprising:
the acquisition module is used for acquiring N wireless indexes of the cell; n is a positive integer;
the processing module is used for acquiring K wireless indexes of which the correlation coefficient with the first index is greater than a first coefficient threshold value from the N wireless indexes according to a correlation algorithm; k is a positive integer;
the single-pass probability of the cell is determined according to the K wireless indexes;
the method comprises the steps that if the single-pass probability of the cell is larger than a first probability threshold, a real-time transport protocol (RTP) data packet test is carried out on a voice quality test MOS recording file of the cell;
and determining whether the cell has single pass according to the result of the RTP data packet test on the cell.
7. The apparatus of claim 6, wherein the processing module is specifically configured to:
determining a quality inflection point threshold of the K wireless indexes according to the statistical data of the K wireless indexes; each quality inflection point threshold of each wireless index in the K wireless indexes is used for determining corresponding one-way probability when the wireless index is smaller than the quality inflection point threshold;
determining a one-way probability matrix according to the quality inflection point threshold of the K wireless indexes; the single-pass probability comprises K lines, and the element of each line in the K lines is a quality inflection point threshold of the corresponding wireless index in the K wireless indexes;
and determining the single-pass probability of the cell according to the corresponding probability of the current numerical value of each wireless index in the K wireless indexes of the cell in the single-pass probability matrix.
8. The apparatus of claim 7, wherein the processing module is further configured to:
performing convolution operation on the single-pass probability matrix; the convolution operation result of the single-pass probability matrix comprises an influence factor of each wireless index in the K wireless indexes influencing the single pass of the cell;
and determining the wireless indexes of which the influence factors are greater than a first factor threshold value in the K wireless indexes according to the convolution operation result of the single-pass probability matrix.
9. The apparatus according to any one of claims 6 to 8, wherein the processing module is specifically configured to:
the result of the RTP packet test includes at least one of the following indicators: RTP packet loss rate, RTP data packet number and RTP data packet time interval;
if any index of the RTP data packet test result is larger than the threshold value of the index, determining the single pass of the cell; otherwise, determining that the cell has no single pass.
10. The apparatus according to any one of claims 6 to 8, wherein the processing module is specifically configured to:
the correlation algorithm is a Spearman correlation algorithm;
the first index is an RTP data packet, and a correlation coefficient between each wireless index in the N wireless indexes and the RTP data packet is determined according to the Spearman correlation algorithm;
and taking the wireless index with the correlation coefficient larger than the first coefficient threshold value in the N wireless indexes as the K wireless indexes.
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