CN106791805B - A kind of method and device of video traffic assessment - Google Patents
A kind of method and device of video traffic assessment Download PDFInfo
- Publication number
- CN106791805B CN106791805B CN201611111589.8A CN201611111589A CN106791805B CN 106791805 B CN106791805 B CN 106791805B CN 201611111589 A CN201611111589 A CN 201611111589A CN 106791805 B CN106791805 B CN 106791805B
- Authority
- CN
- China
- Prior art keywords
- data
- video
- video traffic
- sampled point
- assessment result
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000005070 sampling Methods 0.000 claims abstract description 27
- 238000013507 mapping Methods 0.000 claims description 11
- 238000012216 screening Methods 0.000 claims description 7
- 235000013399 edible fruits Nutrition 0.000 claims description 4
- 238000005259 measurement Methods 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 3
- 238000010295 mobile communication Methods 0.000 abstract description 2
- 238000012360 testing method Methods 0.000 description 21
- 230000001953 sensory effect Effects 0.000 description 8
- 230000005540 biological transmission Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000012854 evaluation process Methods 0.000 description 3
- 241001269238 Data Species 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/004—Diagnosis, testing or measuring for television systems or their details for digital television systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44204—Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
Abstract
This application discloses a kind of method and devices of video traffic assessment, are related to mobile communication technology field, can improve the accuracy of video traffic assessment result.The present processes include:Determine that the sampled point that Reference Signal Received Power is less than or equal to power threshold in video is the first sampled point;Establish the first sampled point set, the first sampled point of each of described first sampled point set and one sampling period of adjacent first sampled point interval;The first sampled point set that sampled point quantity is more than to the first amount threshold is determined as the second sampled point set;Determine the ratio of total number of sample points amount in total number of sample points amount and the video in the second sampled point set;According to the magnitude relationship of the ratio and proportion threshold value, the assessment result of the video traffic is obtained.The application is suitable for assessment video traffic.
Description
Technical field
This application involves the method and devices that mobile communication technology field more particularly to a kind of video traffic are assessed.
Background technology
With the development of mobile network, data service rapid growth.As the video traffic of one of data service, due to tool
There is the features such as real-time, high for bandwidth requirement, becomes the important reference that network operator evaluates network quality.
In the prior art, the buffer time, interim card time, transmission rate etc. of video can be obtained by way of drive test
The key index of video traffic, then the key index by getting assess video traffic situation, and then by video traffic situation
The whole video traffic situation of cell where assessing the video traffic.
During drive test, artificial gathered data in the different areas is needed.However, during practical drive test, by
Each position in drive test region can not be reached in tester, therefore, makes that people can not be tested there are multiple in drive test region
The sampled point that member traverses can thus have the region that can not be much tested.It can be seen that drive test not only has centainly
Limitation, while also collected data volume can be made less.Further, since drive test be need assess video traffic when into
Capable additional test, with user is practical watch video when time, place situations such as it is different, to make collected number
Situation is accessed according to the true video traffic of user cannot be accurately reflected, and then causes the assessment result of video traffic inaccurate.
Invention content
The application provides a kind of method and device of video traffic assessment, can improve the accurate of video traffic assessment result
Degree.
In order to achieve the above objectives, the application adopts the following technical scheme that:
In a first aspect, the application provides a kind of method of video traffic assessment, the method includes:
Determine that the sampled point that Reference Signal Received Power is less than or equal to power threshold in video is the first sampled point;
The first sampled point set is established, the first sampled point of each of described first sampled point set is sampled with adjacent first
Point one sampling period of interval;
The first sampled point set that sampled point quantity is more than to the first amount threshold is determined as the second sampled point set;
Determine the ratio of total number of sample points amount in total number of sample points amount and the video in the second sampled point set;
According to the magnitude relationship of the ratio and proportion threshold value, the assessment result of the video traffic is obtained.
Second aspect, the application provide a kind of device of video traffic assessment, and described device includes:
Determining module, for determining that sampled point that Reference Signal Received Power in video is less than or equal to power threshold is the
One sampled point;
Module is established, for establishing the first sampled point set, the determining module in the first sampled point set is true
Each of fixed first sampled point and one sampling period of adjacent first sampled point interval;
The determining module is additionally operable to sampled point quantity being more than the described of the first amount threshold and establishes the of module foundation
One sampled point set is determined as the second sampled point set;
The determining module is additionally operable to determine that total number of sample points amount is adopted with the video in the second sampled point set
The ratio of total sample amount;
The determining module is additionally operable to the magnitude relationship according to the ratio and proportion threshold value, determines the video traffic
Assessment result.
The method and device of video traffic assessment provided by the present application, is compared to the side in the prior art by drive test
Formula obtains the key index of video to assess video traffic situation, the sampling that the application can be reported according to terminal to the network equipment
The data of point, obtain the assessment result of video traffic after Rule of judgment judges.Since terminal is at interval of a sampling period
Just a data are reported to the network equipment, therefore, when the network equipment can get all terminal viewing videos in all cells
Data, compared with the prior art in, need tester traverse test zone each station acquisition data mode, avoid
Collected data caused by due to tester can not reaching all positions of test zone are excessively unilateral and data volume compared with
Few problem, at the same also avoid due to test process and user watch the factors such as the when and where of video it is different and caused by
Collected data cannot reflect the problem of true video traffic of user accesses situation, be commented in this way, just improving video traffic
The accuracy estimated.
Description of the drawings
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to needed in the embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of method flow diagram of video traffic assessment provided in an embodiment of the present invention;
Fig. 2 to Fig. 5 is the method flow diagram of another video traffic assessment provided in an embodiment of the present invention;
Fig. 6 is a kind of apparatus structure schematic diagram of video traffic assessment provided in an embodiment of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
The embodiment of the present invention provides a kind of method of video traffic assessment, and this method can be applied to the network of such as base station
Equipment.As shown in Figure 1, this method flow includes:
Step 101 determines the (English of Reference Signal Received Power in video:Reference Signal Receiving
Power, referred to as:RSRP the sampled point for) being less than or equal to power threshold is the first sampled point.
It should be noted that when video can smooth and picture completely play when, terminal receives RSRP and should be greater than work(
Rate threshold value, at the time of RSRP is less than or equal to power threshold, video cannot be smooth and be drawn it is possible that the problems such as interim card
Face completely plays out.
Step 102 establishes the first sampled point set.
Wherein, one sampling week of the first sampled point of each of first sampled point set and adjacent first sampled point interval
Phase.
In the time series where a video, a sampled point is determined at interval of a sampling period, by adjacent and
It is spaced first sampled point in a sampling period between any two and is divided into one group, as a sampling set.It should be noted that
In a complete video, there may be at least one first sampling set.In addition, in embodiments of the present invention, if sampling
The time of setting in period is longer, then the interval time between each adjacent two sampled point is long, in this way by sampling obtained number
According to be not enough to reflection the actual video access situation of user;If the sampling period setting time it is too short, obtained data volume compared with
It is more, therefore the network equipment needs to handle a large amount of data, increases the load of the network equipment, therefore, the sampling period needs to be arranged
To be suitably worth, for example, being usually arranged as being less than or equal to 1 second.
Step 103, the first sampled point set that sampled point quantity is more than to the first amount threshold are determined as the second sampled point
Set.
Since in video display process, network signal is continued jitters, therefore occurs RSRP once in a while and be less than or equal to
The sampled point of power threshold belongs to normal condition, and when the continuous number that RSRP is less than or equal to the sampled point of power threshold is small
When the first amount threshold, the play quality of entire video is not interfered with, video remains able to smooth playing.
It should be noted that the first amount threshold can be set to user for video cardton tolerance thresholding and sampling week
The numerical value that the ratio of phase obtains after rounding up.Only when the first sampled point quantity in the first sampled point set is more than the first number
When measuring threshold value, sensory experience that the broadcasting of the video just can cause user poor.I.e. at this point, in the first sampled point set first
The duration of video sequence where sampled point is more than user and tolerates thresholding for video cardton, also means that, in the duration
In the playing process of video, the sensory experience of user is poor.
Step 104, the ratio for determining total number of sample points amount in total number of sample points amount and video in the second sampled point set.
In embodiments of the present invention, by measurement report (English:Measurement Report, referred to as:MR what is) reported adopts
Sampling point quantity is determined as total number of sample points amount in video.In addition, the sampled point in the second sampled point set can be adopted as second
Sampling point.
Step 105, according to the magnitude relationship of ratio and proportion threshold value, obtain the assessment result of video traffic.
It should be noted that in the second sampled point set in total number of sample points amount and video total number of sample points amount ratio,
It can be considered as the ratio that the second sampled point accounts for total number of sample points amount, further it is poor can be considered as user's sensory experience for the ratio
Video length account for the ratio of video total duration.
The data for the sampled point that the application can be reported according to terminal to the network equipment, obtain after Rule of judgment judges
The assessment result of video traffic.Since terminal just reports a data at interval of a sampling period to the network equipment, net
Network equipment can get data when all terminals viewing video in all cells, compared with the prior art in, need to test
Personnel traverse the mode of each station acquisition data of test zone, avoid since tester can not reach test zone
The problem that collected data are excessively unilateral caused by all positions and data volume is less, while also avoiding due to test process
From user watch the factors such as when and where of video it is different and caused by collected data cannot reflect that user really regards
The problem of frequency Operational Visit situation, in this way, just improving the accuracy of video traffic assessment.
The assessment result of video traffic in order to obtain, in a realization method of the embodiment of the present invention, it is determined that obtain
The specific Rule of judgment of each assessment result, therefore, on the basis of realization method as shown in Figure 1, be also implemented as
Realization method shown in Fig. 2.Wherein, step 105 obtains the assessment of video traffic according to the magnitude relationship of ratio and proportion threshold value
As a result, step 1051 can also be implemented as to step 1055:
Step 1051 judges whether ratio is more than proportion threshold value.Wherein, if so, thening follow the steps 1052;Otherwise, it executes
Step 1053.
Step 1052 determines that the assessment result of video traffic is the first assessment result.
It should be noted that the first assessment result can be considered as user to video overall recognition experience it is poor.
In embodiments of the present invention, if ratio is more than proportion threshold value, then it is assumed that ropy during video playing
The ratio that video length accounts for video total duration is excessive, the ropy video time that user watches in the video display process
It is long, which results in the sensory experience of user is poor, therefore, the assessment result of the video traffic is determined as video associative perception
Know and experiences poor, i.e. the first assessment result.
Step 1053 judges whether the length of video is less than designated length.Wherein, if so, thening follow the steps 1055;It is no
Then, step 1054 is executed.
The length of video can also impact video traffic assessment result, when video length is shorter, except the second sampling
Outside point quantity, the number the problems such as appearance interim card of video can also influence the assessment result of video traffic;At that time video length compared with
When long, occur that the problems such as influence that the number of the problems such as interim card generates video traffic assessment result is smaller, interim card occur when
Between be affected to video traffic assessment result generation, therefore, the number for the problems such as considering the appearance interim card of video and
The time factor that the problems such as interim card occurs sets designated length to suitable length, wherein designated length could be provided as 2
Minute.
Step 1054 determines that the assessment result of video traffic is the second assessment result.
Video overall recognition is experienced preferably it should be noted that the second assessment result can be considered as user.
Step 1055 judges whether the quantity of the second sampled point set is more than the second amount threshold.Wherein, if so, holding
Row step 1052;Otherwise, step 1054 is executed.
If video length is less than designated length, which is determined as short video traffic.In embodiments of the present invention,
Second amount threshold is considered as user when watching video, the video cardton number thresholding that can be tolerated, in one section of video,
When video cardton number is more than the second amount threshold, may result in the video can not smooth playing, the sensory experience of user compared with
Difference.Therefore, in embodiments of the present invention, the second amount threshold could be provided as 3 times.Ratio be less than or equal to proportion threshold value and
When video length is less than designated length, the size of the quantity and the second amount threshold that further judge the second sampled point set is closed
System.
In embodiments of the present invention, if the quantity of the second sampled point set is more than the second amount threshold, then it is assumed that in video
During broadcasting, video occur interim card etc. can reflecting video transmission quality problem the phenomenon that number it is excessive, user is at this
Often occurs the problems such as interim card in video display process, which results in the sensory experience of user is poor, therefore, by the video industry
The assessment result of business is determined as video overall recognition and experiences poor, i.e. the first assessment result.
In embodiments of the present invention, the assessment result of video traffic in order to obtain, video is assessed according to Rule of judgment one by one
The sensory experience of business finally obtains the assessment result of video traffic, so that the evaluation process of video traffic is easier.
The assessment result of the video traffic of cell in order to obtain determines in a realization method of the embodiment of the present invention
The specific Rule of judgment of the assessment result of cell video traffic is obtained, therefore, on the basis of realization method as shown in Figure 1
On, it is also implemented as realization method as shown in Figure 3.Wherein, size of the step 105 according to ratio and proportion threshold value is being executed
After obtaining the assessment result of video traffic, step 106 can also be performed to step 109 in relationship:
First assessment result is determined as zero by step 106, and the second assessment result is determined as one point.
It should be noted that other scores can be set the score of the first assessment result and the second assessment result to.
Step 107, in same cell, count video traffic quantity.
It should be noted that different cells can be distinguished using cell ID, and service identification can be used to distinguish not
Same video traffic.Since each video traffic is owned by the mark of the unique identification video traffic, it is same small counting
In area when video traffic quantity, the total quantity of video traffic can be determined by the quantity that statistical service identifies.
Step 108 determines that the ratio of the total score of video traffic and video traffic quantity is cell video in same cell
Business score.
For example, a total of 5 video traffics, their score are respectively in same cell:1 point, 0 point, 0 point, 1 point and 1
Point, then cell video traffic is scored at (1+0+0+1+1)/5=0.6.
Step 109, according to the magnitude relationship of cell video traffic score and score threshold, determine that cell video traffic is assessed
As a result.
In embodiments of the present invention, score threshold is more than or equal to 0 and is less than or equal to 1.For example, score threshold can be determined
It is 0.5.If cell video traffic score is greater than or equal to score threshold, the assessment result of more video traffic is to use in cell
Family video overall recognition is experienced it is preferable, then by cell video traffic assessment result be determined as the experience of cell video overall recognition compared with
It is good, it need not optimize;If cell video traffic score is less than score threshold, the assessment knot of more video traffic in cell
Fruit is that user is poor to the experience of video overall recognition, then cell video traffic assessment result is determined as cell video overall recognition
It experiences poor, needs further to investigate the reason for causing cell video traffic poor, later to causing cell video traffic poor
Factor optimize, such as promoted transmission of video speed and improve video pictures quality.For example, in the exemplary base of step 108
On plinth, 0.6>0.5, cell video traffic is evaluated as the experience of cell video overall recognition preferably, need not be optimized.
If setting the score of the first assessment result and the second assessment result to the not score for 0 and 1, need accordingly to change
Become score threshold.Correspondingly, if the score of the first assessment result is more than the score of the second assessment result, when cell video traffic
When score is less than score threshold, it is preferable that the assessment result of cell video traffic is determined as the experience of cell video overall recognition;When
When cell video traffic score is greater than or equal to score threshold, it is whole that the assessment result of cell video traffic is determined as cell video
Body sensory experience is poor.
In embodiments of the present invention, the assessment result of cell video traffic, the network equipment will be single in cell in order to obtain
The score of video traffic summarizes, and counts video traffic quantity in cell, by the total score of video traffic in cell and video industry
The ratio of business quantity is determined as cell video traffic score, and the assessment knot of cell video traffic is obtained further across Rule of judgment
Fruit.Since the data volume when obtaining the score of single video traffic, got is big and data can reflect that user is true
Video traffic accesses situation, and the assessment result of the single video traffic obtained in this way is more acurrate, so, by single video industry
The cell video traffic score that the score of business determines is also more acurrate, therefore, it is possible to improve the standard of cell video traffic assessment result
Exactness.
The data of sampled point obtain MR etc. in a realization method of the embodiment of the present invention in video in order to obtain
Data have simultaneously carried out preliminary treatment to it, therefore, on the basis of realization method as shown in Figure 1, are also implemented as such as Fig. 4
Shown in realization method.Wherein, Reference Signal Received Power is less than or equal to power threshold in executing step 101 and determining video
Sampled point be the first sampled point before, step 110 can also be performed to step 112:
Step 110 obtains MR, mobile management entity (English:Mobility Management Entity, referred to as:MME)
Map data and Gn mouthfuls of data.
Wherein, MR includes that terminal iidentification, cell ID, the Reference Signal Received Power of serving cell, MR times and MME are compiled
Number, MME mappings data include international mobile subscriber identity (English:International Mobile Subscriber
Identification Number, referred to as:IMSI) and terminal iidentification, Gn mouthfuls of data packet including IMS I, data traffic types, data
Business time started and data service ending time, wherein data service includes video traffic.
Step 111, according to data traffic types, filter out the number that data traffic types in Gn mouthfuls of data are video traffic
According to, and service identification is set for each video traffic.
Gn mouthfuls of data include video traffic and non-video business, according to the data traffic types in Gn mouthfuls of data, screening
Go out the data of video traffic, service identification is set for each video traffic later, wherein service identification includes at least a word
Symbol.
Data traffic types are the data of video traffic in step 112, merging, obtain basic data.
It should be noted that structured query language (English can be passed through:Structured Query Language, letter
Claim:MR, MME are mapped data and Gn mouthfuls of data merge by the SQL) Data Analysis Software such as software, and this will not be repeated here.
In embodiments of the present invention, MR and MME can be mapped into data correlation, MME is reflected according to identical terminal iidentification
The IMSI penetrated in data is merged into MR, obtain include IMSI MR data, further according to identical IMSI, by the MR including IMSI
Data and Gn mouthfuls of data are associated, can obtain MR data and Gn mouthful data using IMSI as associate field.It is association with IMSI
MR data and Gn a mouthful data for field may be displayed in table, for each sampled point of video traffic, all there is one
Tables of data as shown in Table 1:
Table one
In the Gn mouth data obtained at the beginning, data service includes video traffic and non-video business, it is contemplated that at this
The data of video traffic are only needed in inventive embodiments, therefore, in merging data, can directly be gone out from Gn mouthfuls of extracting datas
The data of video traffic, and video traffic data and the MR data including IMSI are associated, basic data is obtained, therefore,
Only include the data that type is video traffic in the basic data list made.
In embodiments of the present invention, in order to obtain in video sampled point data, the network equipment acquisition be reported to by terminal
The network equipment MR, MME mapping data and Gn mouthfuls of data, artificially obtain without tester to testing location, which offers a saving
Human and material resources, and the network equipment can get the data that all users report when watching video in all cells, therefore,
Obtained data volume bigger and data is more acurrate.
Valid data in video traffic evaluation process in order to obtain, in a realization method of the embodiment of the present invention
In, on the basis of a upper embodiment, further screening and sequence are carried out to data, therefore, in realization as shown in Figure 4
On the basis of mode, realization method as shown in Figure 5 can also be realized.Wherein, step 112 merging MR, MME mapping number is being executed
According to the data with data traffic types in Gn mouthfuls of data for video traffic, after obtaining basic data, step 113 can also be performed
With step 114:
Step 113, will be filtered out from basic data the MR times same video traffic starting and end time it
Interior data are determined as valid data.
It should be noted that due in same cell, the IMSI of each terminal is different, but in different community, Ke Nengcun
Including the MR data and Gn mouthfuls of data of IMSI with identical IMSI associations therefore in the identical situations of the IMSI of different terminals
When, there are one group include IMSI MR data correlations to multigroup different video business Gn mouth data the case where, but in multigroup Gn
In mouth data, only the data using the MR times within same video traffic starting and end time are as valid data.Example
Such as, table obtains valid data, as shown in Table 2 once crossing screening:
Table two
Step 114, according to cell ID and terminal iidentification, valid data are sorted out and are sorted.
The identical data of cell ID in valid data are sequentially arranged in tables of data by the network equipment, later, successively
In the data of the same cell of arrangement, then by the identical data of terminal iidentification according to the sequencing arrangement of MR times.
In order to make can directly to take data in the evaluation process of video traffic, therefore, it is necessary to filter out significant figure again
It is ranked up according to and then by valid data, in this way, the data of same terminal are sequentially arranged in tables of data, same cell
Data are sequentially arranged in tables of data, when assessing single video traffic and cell video traffic, just all are had without traversing
Data are imitated to search the data of the data and same cell video traffic of same video traffic, which reduces the network equipments time
The time that all valid data search required data is gone through, it is more convenient when video traffic being made to assess.
The embodiment of the present invention provides a kind of device 1 of video evaluations, which is used to execute as shown in Figures 1 to 5 appoint
One method flow of meaning, as shown in fig. 6, the device 1 includes:
Determining module 2, for determining, Reference Signal Received Power is less than or equal to the sampled point of power threshold in video
First sampled point.
Module 3 is established, for establishing the first sampled point set, the determining module 2 in the first sampled point set determines every
A first sampled point and one sampling period of adjacent first sampled point interval.
Determining module 2 is additionally operable to for sampled point quantity to be more than the first sampling of the first amount threshold established module 3 and established
Point set is determined as the second sampled point set.
Determining module 2 is additionally operable to determine total number of sample points amount and total number of sample points amount in video in the second sampled point set
Ratio.
Determining module 2 is additionally operable to the magnitude relationship according to ratio and proportion threshold value, determines the assessment result of video traffic.
In a realization method of the embodiment of the present invention, determining module 2 is additionally operable to when ratio is more than proportion threshold value,
Determine that the assessment result of video traffic is the first assessment result.
The device 1 further includes:
Judgment module 4, for when the ratio that determining module 2 determines is less than or equal to proportion threshold value, judging the length of video
Whether degree is less than designated length.
Judgment module 4 is additionally operable to when the length of video is less than designated length, judges that determining module 2 determines second adopts
Whether the quantity of sampling point set is more than the second amount threshold.
Determining module 2 is additionally operable to judge that the quantity of the second sampled point set is more than the second amount threshold when judgment module 4
When, determine that the assessment result of video traffic is the first assessment result.
Determining module 2 is additionally operable to judge that the quantity of the second sampled point set is less than or equal to the second quantity when judgment module 4
When threshold value, determine that the assessment result of video traffic is the second assessment result.
Determining module 2 is additionally operable to when judgment module 4 judges that the length of video is greater than or equal to designated length, and determination regards
The assessment result of frequency business is the second assessment result.
In a realization method in the embodiment of the present invention, determining module 2 is additionally operable to the first assessment result being determined as
Zero, the second assessment result are determined as one point.
The device 1 further includes:
Statistical module 5, in same cell, counting video traffic quantity.
Determining module 2 is additionally operable to determine the video industry that the total score of video traffic is counted with statistical module 5 in same cell
The ratio for quantity of being engaged in is cell video traffic score.
Determining module 2 is additionally operable to the magnitude relationship according to cell video traffic score and score threshold, determines cell video
Business assessment result.
In a realization method of the embodiment of the present invention, which further includes:
Acquisition module 6 includes terminal iidentification, cell ID, clothes for obtaining MR, MME mapping data and Gn mouthfuls of data, MR
Reference Signal Received Power, MR times and the MME numbers for cell of being engaged in, MME mapping data packet including IMS I and terminal iidentification, Gn mouthfuls of numbers
According to including IMSI, data traffic types, data service time started and data service ending time, wherein data service includes
Video traffic.
Screening set module 7, the data traffic types for being obtained according to acquisition module 6 filter out number in Gn mouthfuls of data
According to the data that type of service is video traffic, and for each video traffic, service identification is set.
Merging module 8, MR, MME mapping data and screening set module 7 for merging the acquisition of acquisition module 6 filter out
Gn mouth data in data traffic types be video traffic data, obtain basic data.
In a realization method of the embodiment of the present invention, determining module 2 is additionally operable to obtain from the merging of merging module 8
Basic data in filter out data of the MR times within same video traffic starting and end time and be determined as effectively
Data.
The device 1 further includes:
Sort out sorting module 9, cell ID and terminal iidentification for being obtained according to acquisition module 6 are true by determining module 2
Fixed valid data are sorted out and sort.
The data for the sampled point that the application can be reported according to terminal to the network equipment, obtain after Rule of judgment judges
The assessment result of video traffic.Since terminal just reports a data at interval of a sampling period to the network equipment, net
Network equipment can get data when all terminals viewing video in all cells, compared with the prior art in, need to test
Personnel traverse the mode of each station acquisition data of test zone, avoid since tester can not reach test zone
The problem that collected data are excessively unilateral caused by all positions and data volume is less, while also avoiding due to test process
From user watch the factors such as when and where of video it is different and caused by collected data cannot reflect that user really regards
The problem of frequency Operational Visit situation, in this way, just improving the accuracy of video traffic assessment.
Each embodiment in this specification is described in a progressive manner, identical similar portion between each embodiment
Point just to refer each other, and each embodiment focuses on the differences from other embodiments.Especially for device reality
For applying example, since it is substantially similar to the method embodiment, so describing fairly simple, related place is referring to embodiment of the method
Part explanation.
One of ordinary skill in the art will appreciate that realizing all or part of flow in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in computer read/write memory medium
In, the program is when being executed, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (English:Read-Only Memory, referred to as:ROM) or random access memory is (English:
Random Access Memory, referred to as:RAM) etc..
The above, the only specific implementation mode of the embodiment of the present invention, but the protection domain of the embodiment of the present invention is not
It is confined to this, any one skilled in the art can think easily in the technical scope that the embodiment of the present invention discloses
The change or replacement arrived should all be covered within the protection domain of the embodiment of the present invention.Therefore, the protection model of the embodiment of the present invention
Enclosing be subject to the protection scope in claims.
Claims (8)
1. a kind of method of video traffic assessment, which is characterized in that the method includes:
Determine that the sampled point that Reference Signal Received Power is less than or equal to power threshold in video is the first sampled point;
The first sampled point set is established, between the first sampled point of each of described first sampled point set and adjacent first sampled point
Every a sampling period;
The first sampled point set that sampled point quantity is more than to the first amount threshold is determined as the second sampled point set;
Determine the ratio of total number of sample points amount in total number of sample points amount and the video in the second sampled point set;
According to the magnitude relationship of the ratio and proportion threshold value, the assessment result of the video traffic is determined;
Wherein, the assessment result includes the first assessment result or the second assessment result, described according to the ratio and ratio threshold
The magnitude relationship of value obtains the assessment result of the video traffic, specifically includes:If the ratio is more than proportion threshold value, really
The assessment result of the fixed video traffic is first assessment result;
If the ratio is less than or equal to the proportion threshold value, judge whether the length of the video is less than designated length;
If the length of the video is less than the designated length, judge whether the quantity of the second sampled point set is more than the
Two amount thresholds;
If the quantity of the second sampled point set is more than second amount threshold, it is determined that the assessment knot of the video traffic
Fruit is first assessment result;
If the quantity of the second sampled point set is less than or equal to second amount threshold, it is determined that the video traffic
Assessment result is second assessment result;
If the length of the video is greater than or equal to the designated length, it is determined that the assessment result of the video traffic is described
Second assessment result;
Wherein, second assessment result is better than first assessment result.
2. according to the method described in claim 1, it is characterized in that, being closed according to the size of the ratio and proportion threshold value described
System, after obtaining the assessment result of the video traffic, the method further includes:
First assessment result is determined as zero, second assessment result is determined as one point;
In same cell, video traffic quantity is counted;
Determine that the ratio of the total score of video traffic and the video traffic quantity is cell video traffic in the same cell
Score;
According to the magnitude relationship of the cell video traffic score and score threshold, cell video traffic assessment result is determined.
3. according to the method described in claim 1, it is characterized in that, Reference Signal Received Power is less than or waits in determining video
Before the sampled point of power threshold is the first sampled point, the method includes:
It includes terminal iidentification, cell to obtain measurement report MR, mobile management entity MME mapping data and Gn mouthfuls of data, the MR
Mark, the Reference Signal Received Power of serving cell, MR times and MME numbers, the MME mappings data include that international movement is used
Family identification code IMSI and terminal iidentification, the Gn mouthfuls of data packet including IMS I, data traffic types, data service time started sum number
According to the service ending time, wherein data service includes video traffic;
According to the data traffic types, the number that data traffic types described in the Gn mouthfuls of data are video traffic is filtered out
According to, and service identification is set for each video traffic;
Merge the number that data traffic types described in the MR, the MME mapping data and the Gn mouthfuls of data are video traffic
According to obtaining basic data.
4. according to the method described in claim 3, it is characterized in that, merging the MR, the MME mapping data and institute described
The data that data traffic types described in Gn mouthfuls of data are video traffic are stated, after obtaining basic data, the method further includes:
It will be from filtering out data of the MR times within same video traffic starting and end time in the basic data
It is determined as valid data;
According to cell ID and terminal iidentification, the valid data are sorted out and sorted.
5. a kind of device of video traffic assessment, which is characterized in that described device includes:
Determining module, for determining, Reference Signal Received Power is adopted less than or equal to the sampled point of power threshold for first in video
Sampling point;
Module is established, for establishing the first sampled point set, what the determining module in the first sampled point set determined
Each first sampled point and one sampling period of adjacent first sampled point interval;
The determining module is additionally operable to sampled point quantity being more than the described of the first amount threshold and establishes first adopting for module foundation
Sampling point set is determined as the second sampled point set;
The determining module is additionally operable to determine total number of sample points amount and sampled point in the video in the second sampled point set
The ratio of total quantity;
The determining module is additionally operable to the magnitude relationship according to the ratio and proportion threshold value, determines commenting for the video traffic
Estimate result;
The determining module is additionally operable to, when the ratio is more than proportion threshold value, determine that the assessment result of the video traffic is
First assessment result;
Described device further includes:
Judgment module, for when the ratio that the determining module determines is less than or equal to the proportion threshold value, judging institute
Whether the length for stating video is less than designated length;
The judgment module is additionally operable to, when the length of the video is less than the designated length, judge that the determining module is true
Whether the quantity of fixed the second sampled point set is more than the second amount threshold;
The determining module is additionally operable to judge that the quantity of the second sampled point set is more than described second when the judgment module
When amount threshold, determine that the assessment result of the video traffic is first assessment result;
The determining module is additionally operable to judge that the quantity of the second sampled point set is less than or equal to institute when the judgment module
When stating the second amount threshold, determine that the assessment result of the video traffic is the second assessment result;
The determining module is additionally operable to judge that the length of the video is greater than or equal to the designated length when the judgment module
When, determine that the assessment result of the video traffic is second assessment result;
Wherein, second assessment result is better than first assessment result.
6. device according to claim 5, which is characterized in that the determining module is additionally operable to the first assessment knot
Fruit is determined as zero, and second assessment result is determined as one point;
Described device further includes:
Statistical module, in same cell, counting video traffic quantity;
The determining module is additionally operable to determine the total score with the statistical module counts of video traffic in the same cell
The ratio of the video traffic quantity is cell video traffic score;
The determining module is additionally operable to, according to the magnitude relationship of the cell video traffic score and score threshold, determine cell
Video traffic assessment result.
7. device according to claim 5, which is characterized in that described device further includes:
Acquisition module, for obtaining measurement report MR, mobile management entity MME maps data and Gn mouthfuls of data, the MR include
Terminal iidentification, cell ID, the Reference Signal Received Power of serving cell, MR times and MME numbers, the MME map data
Including international mobile subscriber identity IMSI and terminal iidentification, the Gn mouthfuls of data packet including IMS I, data traffic types, data industry
It is engaged in time started and data service ending time, wherein data service includes video traffic;
Screening set module, the data traffic types for being obtained according to the acquisition module, filters out the Gn mouthfuls of number
The data traffic types described in are the data of video traffic, and service identification are arranged for each video traffic;
Merging module, for merging the MR, the MME mapping data and the screening set mould that the acquisition module obtains
Data traffic types described in the Gn mouthfuls of data that block filters out are the data of video traffic, obtain basic data.
8. device according to claim 7, which is characterized in that the determining module, being additionally operable to will be from the merging module
Merge in the obtained basic data and filters out number of the MR times within same video traffic starting and end time
According to being determined as valid data;
Described device further includes:
Sort out sorting module, cell ID and terminal iidentification for being obtained according to the acquisition module, by the determining module
The determining valid data are sorted out and sort.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611111589.8A CN106791805B (en) | 2016-12-06 | 2016-12-06 | A kind of method and device of video traffic assessment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611111589.8A CN106791805B (en) | 2016-12-06 | 2016-12-06 | A kind of method and device of video traffic assessment |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106791805A CN106791805A (en) | 2017-05-31 |
CN106791805B true CN106791805B (en) | 2018-08-10 |
Family
ID=58874539
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611111589.8A Active CN106791805B (en) | 2016-12-06 | 2016-12-06 | A kind of method and device of video traffic assessment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106791805B (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110300003B (en) * | 2018-03-21 | 2021-01-12 | 华为技术有限公司 | Data processing method and client |
CN118555037B (en) * | 2024-07-29 | 2024-10-11 | 深圳市晟江科技有限公司 | Signal fluctuation control method and system for medium-long distance wireless video |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101594552B (en) * | 2009-06-29 | 2010-12-01 | 华东师范大学 | Testing method for IPTV service quality damage by network transmission |
WO2013029214A1 (en) * | 2011-08-26 | 2013-03-07 | Huawei Technologies Co., Ltd. | Video quality monitor and method for determining a network video quality measure in a communication network |
CN103974057B (en) * | 2013-01-24 | 2016-09-28 | 华为技术有限公司 | A kind of video quality user experience value assessment method, equipment and system |
CN103763551B (en) * | 2014-02-10 | 2015-06-17 | 杭州友声科技有限公司 | Video testing method based on deep packet inspection |
CN103841412B (en) * | 2014-03-18 | 2016-03-02 | 北京邮电大学 | A kind of Internet video quality measurement of user experience method and apparatus |
CN104168506A (en) * | 2014-08-13 | 2014-11-26 | 广州市香港科大霍英东研究院 | Method for obtaining user video experience quality by sniffing HTTP data packet |
CN105991364B (en) * | 2015-02-28 | 2020-07-17 | 中兴通讯股份有限公司 | User perception evaluation method and device |
CN105188079B (en) * | 2015-10-20 | 2018-08-10 | 武汉虹信技术服务有限责任公司 | The system and method that stream media quality is evaluated and tested and mobile network quality is promoted |
-
2016
- 2016-12-06 CN CN201611111589.8A patent/CN106791805B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN106791805A (en) | 2017-05-31 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
DE602004008555T2 (en) | Method for the proximity determination of the devices in a wireless network | |
CN103647800B (en) | Recommend the method and system of application resource | |
CN106028176B (en) | The method and device at the time point of Hot Contents in a kind of determining Streaming Media | |
CN110337059B (en) | Analysis algorithm, server and network system for family relationship of user | |
CN109034036A (en) | A kind of video analysis method, Method of Teaching Quality Evaluation and system, computer readable storage medium | |
US10104428B2 (en) | Video playing detection method and apparatus | |
CN107515825A (en) | Fluency method of testing and device, storage medium, terminal | |
CN104427547B (en) | Business and network associate method of testing, apparatus and system | |
CN106791805B (en) | A kind of method and device of video traffic assessment | |
CN106529189A (en) | User classifying method, application server and application client-side | |
CN106156055A (en) | The identification of search engine reptile, processing method and processing device | |
CN110493363B (en) | System and method for distinguishing random MAC address of smart phone | |
CN109165154A (en) | Display interface fluency statistical method and system, mobile terminal and server | |
CN102075366B (en) | Method and equipment for processing data in communication network | |
TW201735654A (en) | Multimedia resource quality assessment method and apparatus | |
CN110209551A (en) | A kind of recognition methods of warping apparatus, device, electronic equipment and storage medium | |
CN108260140A (en) | A kind of simulation drive test data acquisition methods and device | |
CN104955097B (en) | Mobile network's monitoring signaling method based on cuclear density distribution | |
CN115866547A (en) | Fixed area tourist counting method, system and storage medium based on signaling data | |
CN104363130B (en) | The system and method for network quality case study location control is realized in communication network | |
CN107094306B (en) | Terminal performance evaluation method and device | |
CN110580505A (en) | Intelligent cash registering method based on service plate identification | |
CN108777866A (en) | A kind of network analysis method, server and network system | |
CN105188079A (en) | Streaming media quality evaluation and mobile network quality lifting system and method | |
CN108260142A (en) | A kind of high ferro simulation drive test data acquisition methods and device |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |