CN108040341A - A kind of VoLTE network voice qualities integrated relational analysis method and system - Google Patents
A kind of VoLTE network voice qualities integrated relational analysis method and system Download PDFInfo
- Publication number
- CN108040341A CN108040341A CN201810077857.1A CN201810077857A CN108040341A CN 108040341 A CN108040341 A CN 108040341A CN 201810077857 A CN201810077857 A CN 201810077857A CN 108040341 A CN108040341 A CN 108040341A
- Authority
- CN
- China
- Prior art keywords
- voice
- data packet
- net
- network
- volte
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The embodiment of the present invention provides a kind of VoLTE network voice qualities integrated relational analysis method and system, and the analysis method includes:Data packet is extracted from Media Stream;The data packet is analyzed, determines the KPI Key Performance Indicator and Key Quality Indicator of voice-over-net;Network voice quality is determined according to the KPI Key Performance Indicator and Key Quality Indicator respectively.The present invention by from Media Stream directly, rapidly extract data packet, and data packet is analyzed, the KPI Key Performance Indicator and Key Quality Indicator of voice-over-net are determined, so as to can accurately determine network voice quality according to the KPI Key Performance Indicator of voice-over-net and Key Quality Indicator.
Description
Technical field
It is more particularly to a kind of the present invention relates to VoLTE (Voice over LTE) network voice quality analysis technical field
VoLTE network voice quality integrated relational analysis method and system.
Background technology
Emphasis business of the VoLTE as operator at present, it is possible to provide have QOS (Quality of Service, Service Quality
Amount) ensure (QCI=1) WB-AMR high definition voices, using video calling and high definition voice as attraction, significant increase user's body
Test.
But at present now network users complain occurred single-pass, discontinuously, tonequality the problems such as, voice quality class complain accounts for VIP throwing
Tell the 75% of total amount, seriously affect the high definition voice experience of user.Specific phenomenon is as follows:
Phenomenon one:VoLTE is probability discontinuously, gulps down word.
In existing net VoLTE experience, VoLTE calls occur that the probability word that gulps down with discontinuously, influences integrality of conversing.
Phenomenon two:Unexpected single-pass in VoLTE calls.
For example, in certain office building, VOLTE voices frequently occur single-pass phenomenon, rear call drop for 20 seconds.
Phenomenon three:Tonequality or the bad situation of video image quality can be run into VoLTE calls.
In existing net VoLTE business in use, hearing has a little miscellaneous blind or video calling image situations such as mosaic occur.
It can not solve above-mentioned phenomenon by existing VOLTE network voice qualities analysis method, but existing VOLTE nets
Also there are following problem for network voice quality analysis method:
1st, business diagnosis ability, can only realize the analysis of signaling aspect at this stage, and analysis granularity is larger, is not based on
Media stream data is analyzed, it is impossible to detailed business diagnosis is carried out for voice fission in a communication process, can not be accurate
Fault point.
2nd, index system problem, existing index system (percent of call completed etc.) tend to call establishment stage;It is not covered with
Quality of the user in communication process.
3 and existing voice mass M OS (Mean Opinion Score, average opinion value) scoring algorithm, using average meaning
Seem point, it is therefore an objective to assess the voice quality of communication system, algorithms most in use includes:PESQ and POLQA.The side of PESQ/POLQA
Method, the method for being not based on IP network, it is impossible to react attenuation problem (Delay and Jitter in such as network transmission of IP network
The problems such as with Packet Loss);It cannot illustrate the network delay of End-to-End, can only export interior at any time a certain
The voice quality in direction, is not the two-way result in true call.
In process of the present invention is realized, inventor has found that at least there are the following problems in the prior art:Existing network language
Tonequality analysis method can not accurately determine network voice quality.
The content of the invention
The embodiment of the present invention provides a kind of VoLTE network voice qualities integrated relational analysis method and system, can be accurately true
Determine network voice quality.
On the one hand, an embodiment of the present invention provides a kind of VoLTE network voice qualities integrated relational analysis method, described point
Analysis method includes:
Data packet is extracted from Media Stream;
The data packet is analyzed, determines the KPI Key Performance Indicator and Key Quality Indicator of voice-over-net;
Network voice quality is determined according to the KPI Key Performance Indicator and Key Quality Indicator respectively.
Optionally, the KPI Key Performance Indicator includes packet loss, jitter conditions, encoding and decoding bandwidth and decay time;
It is described that the data packet is analyzed, determine the KPI Key Performance Indicator of voice-over-net, specifically include:
The data packet is identified, determines RTCP data packets and RTP data packets;
The RTCP data packets and RTP data packets are analyzed respectively, determine corresponding analysis result;The analysis knot
Fruit includes communication packet loss, jitter conditions, encoding and decoding bandwidth and decay time end to end, and the packet loss of each interface,
Jitter conditions and encoding and decoding bandwidth.
Optionally, the KPI Key Performance Indicator analyzed the data packet, determine voice-over-net, further includes:
According to each analysis result, the statistics file of tabular is generated.
Optionally, the Key Quality Indicator analyzed the data packet, determine voice-over-net, specifically includes:
According to the data packet, the R coefficient of calculating network transportation level;
According to the R coefficient of the network transmission aspect, calculate voice and be averaged opinion value, for characterizing the key of voice-over-net
Quality index.
Optionally, the R coefficient of the network transmission aspect is calculated according to the following formula:
R=Ro-Is-Id-Ie_eff+A;
Wherein, Ro represent network transmission signal-to-noise ratio, Is represent equipment combined probability, Id represent due to when extend to equipment lose
Superposition deterioration factor caused by effect, Ie_eff represent the deterioration factor brought by low bit rate encoder, and A is represented to user environment
The compensation of state.
On the other hand, it is described an embodiment of the present invention provides a kind of VoLTE network voice qualities integrated relational analysis system
Analysis system includes:
Extraction unit, for extracting data packet from Media Stream;
Analytic unit, for analyzing the data packet, determines the KPI Key Performance Indicator and key of voice-over-net
Quality index;
Determination unit, for determining voice-over-net matter according to the KPI Key Performance Indicator and Key Quality Indicator respectively
Amount.
Optionally, the KPI Key Performance Indicator includes packet loss, jitter conditions, encoding and decoding bandwidth and decay time;
The analytic unit analyzes the data packet, determines the KPI Key Performance Indicator of voice-over-net, specifically includes:
Identification module, for the data packet to be identified, determines RTCP data packets and RTP data packets;
Analysis module, for analyzing respectively the RTCP data packets and RTP data packets, determines corresponding analysis knot
Fruit;The analysis result includes communication packet loss, jitter conditions, encoding and decoding bandwidth and decay time, and respectively connect end to end
Packet loss, jitter conditions and encoding and decoding bandwidth at mouthful.
Optionally, the analytic unit further includes:
Generation module, for according to each analysis result, generating the statistics file of tabular.
Optionally, the analytic unit analyzes the data packet, determines the Key Quality Indicator of voice-over-net, tool
Body includes:
First computing module, for according to the data packet, the R coefficient of calculating network transportation level;
Second computing module, for the R coefficient according to the network transmission aspect, calculates voice and is averaged opinion value, be used for
Characterize the Key Quality Indicator of voice-over-net.
Optionally, first computing module calculates the R coefficient of the network transmission aspect according to the following formula:
R=Ro-Is-Id-Ie_eff+A;
Wherein, Ro represent network transmission signal-to-noise ratio, Is represent equipment combined probability, Id represent due to when extend to equipment lose
Superposition deterioration factor caused by effect, Ie_eff represent the deterioration factor brought by low bit rate encoder, and A is represented to user environment
The compensation of state.
Above-mentioned technical proposal has the advantages that:
The present invention by from Media Stream directly, rapidly extract data packet, and data packet is analyzed, determines network
The KPI Key Performance Indicator and Key Quality Indicator of voice, so as to the KPI Key Performance Indicator according to voice-over-net and crucial matter
Figureofmerit can accurately determine network voice quality.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow chart of VoLTE network voice qualities integrated relational analysis method of the present invention;
Fig. 2 is the R coefficient computation model schematic diagram of network transmission aspect;
Fig. 3 is the flow chart of the voice quality problem localization method based on VoLTE-VoLTE;
Fig. 4 is the flow chart of the voice quality problem localization method based on VoLTE-CS;
Fig. 5 is the modular structure schematic diagram of VoLTE network voice qualities integrated relational analysis system of the present invention.
Symbol description:
Extraction unit -1, analytic unit -2, determination unit -3.
Embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without making creative work
Embodiment, belongs to the scope of protection of the invention.
The object of the present invention is to provide a kind of VoLTE network voice qualities integrated relational analysis method, by from Media Stream
In directly, rapidly extract data packet, and data packet is analyzed, determines the KPI Key Performance Indicator and key of voice-over-net
Quality index, voice-over-net can be accurately determined so as to the KPI Key Performance Indicator according to voice-over-net and Key Quality Indicator
Quality.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, it is below in conjunction with the accompanying drawings and specific real
Applying mode, the present invention is described in further detail.
As shown in Figure 1, VoLTE network voice qualities integrated relational analysis method of the present invention includes:
Step 100:Data packet is extracted from Media Stream;
Step 200:The data packet is analyzed, determines the KPI Key Performance Indicator (Key of voice-over-net
Performance Indicators, abbreviation KPI) and Key Quality Indicator (Key Quality Indicators, referred to as
KQI);
Step 300:Voice-over-net matter is determined according to the KPI Key Performance Indicator KPI and Key Quality Indicator KQI respectively
Amount.
KPI Key Performance Indicator KPI can be extracted directly from Media Stream, and the data packet of extraction is divided into segmentation RTP (Real-
TimeTransport Protocol, real-time transport protocol) data packet and end-to-end RTCP (RTP Control Protocol,
RTP Control Protocol) data packet.The Streaming Media refers to what is played by the way of stream transmission in Internet/Intranet
Media formats, such as audio, video or multimedia file.Streaming Media does not download whole file before broadcasting, only by beginning
Content is stored in memory, and data packet is cached in a computer and media data is correctly exported.
Analysis based on RTCP data packets can be used for assessment mobile phone voice quality end to end;RTP based on distinct interface
Data packet analysis can be used for the voice quality of each interface of Segment evaluation, realizes and delimits positioning function, both can be determined that specific failure
Point.
Specifically, the KPI Key Performance Indicator KPI includes packet loss, jitter conditions, encoding and decoding bandwidth and decay time.
In step 200, it is described that the data packet is analyzed, determine the KPI Key Performance Indicator KPI of voice-over-net, have
Body includes:
Step 201:The data packet is identified, determines RTCP data packets and RTP data packets.
Step 202:The RTCP data packets and RTP data packets are analyzed respectively, determine corresponding analysis result.Its
In, as shown in table 1 (√ represents to obtain), the analysis result includes communication packet loss, jitter conditions, volume solution end to end
Code bandwidth and decay time, and the packet loss of each interface, jitter conditions and encoding and decoding bandwidth.
Table 1
Classification | Packet loss | Shake | Time delay | Coding |
PTCP (end-to-end) | √ | √ | √ | √ |
RTP (segmentation) | √ | √ | √ |
Step 203:According to each analysis result, the statistics file of tabular is generated.
By the statistics file for generating tabular, it may not be necessary to store original media data, therefore, can avoid by privacy of user
The influence of the problem of leakage and the limitation of big data quantity memory capacity so that VoLTE network voice qualities synthesis association point of the present invention
Analysis method is easy to spread and uses.
To single-pass in communication process, it is interrupted the problems such as, 1) can monitor whether each communication process be deposited by RTP assessment algorithms
In single-pass in short-term, or it is long when single-pass, and the problem of voice is intermittent;2) judge single-pass scene, mainly pass through monitoring
The continuity of two-way RTP bags;3) it is mainly the transmission time interval duration by monitoring RTP bags to judge interrupted scene.
Specifically, in step 300, it is described that network voice quality is determined according to the KPI Key Performance Indicator, specifically include
At least one (as shown in table 2) below:
Exceed given threshold without acquisition RTP data packets or packet loss in monitoring cycle, it is determined that conversing every time
During there is a situation where voice single-pass in short-term;
There is a situation where voice single-pass in short-term in continuous multiple monitoring cycles, it is determined that exist in each communication process
The situation of single-pass when voice is long;
Monitoring receives the interval duration of RTP data packets, the size of the interval duration and time threshold, if greatly
In, it is determined that there are the interrupted scene of voice in each communication process.
Table 2
Further, as shown in Fig. 2, in step 200, analyzing the data packet, the pass of voice-over-net is determined
Key quality index, specifically includes:
Step 211:According to the data packet, the R based on ITU-TG.107 algorithms (E-model) calculating network transportation level
Coefficient.
The R coefficient of the network transmission aspect is calculated according to formula (1):
R=Ro-Is-Id-Ie_eff+A (1);
Wherein, Ro represents network transmission signal-to-noise ratio, and in the present embodiment, predominantly network transmission caused by environmental noise is believed
Make an uproar ratio;Is represent equipment combined probability, Id represent due to when extend to be superimposed deterioration factor caused by equipment failure, with specific reference to
Delay and jitter conditions determine;Ie_eff represents the deterioration factor brought by low bit rate encoder, with specific reference to encoder class
Type and packet loss determine;A represents the compensation to user environment state, compensation such as mobile to indoor/outdoor, low high speed.
Step 212:According to the R coefficient of the network transmission aspect, calculate voice and be averaged opinion value MOS, for characterizing net
The Key Quality Indicator of network voice.
Further, in step 300, network voice quality is determined according to Key Quality Indicator, specifically included:
It is averaged opinion value according to the voice, determines the rank of voice quality.
In embodiment as shown in table 3, the rank of institute's Voice Quality is divided into Pyatyi:Level-one represents outstanding, and secondary table is expressed friendship,
Three-level represents general, and level Four represents bad, and Pyatyi represents poor.
Table 3
R coefficient | MOS | Rank |
90 | 43(4.3) | 1 grade:Outstanding (Excellent) |
80 | 40(4.0) | 2 grades:Good (Good) |
70 | 36(3.6) | 3 grades:Generally (Fair) |
60 | 31(3.1) | 4 grades:Bad (Poor) |
50 | 26(2.6) | 5 grades:Poor (Bad) |
Table 4 is the alarm threshold value of each KPI, KQI for being conversed according to 22.105 protocol contents of 3GPP, definite VoLTE, such as
Fruit exceeds the alarm threshold, and illustrating voice-over-net, there are serious problems.
Table 4
Due to the voice and video talk business of VoLTE networks, whole process uses the RTP business of end-to-end IP network, by UE
Media negotiation, transmission, control are carried out with UE.Therefore, VoLTE network voice qualities integrated relational analysis method of the present invention acquires
Multiple interfaces of medium surface and signaling plane, and implemented based on existing RTP/RTCP media streaming techniques.Specifically, use media sector
The transport protocol of business is RTP/RTCP agreements, and the transport protocol using signaling traffic is Session Initiation Protocol, the interface of medium data acquisition
Respectively S1-U interface, Mb, the interface of signaling data collection is Gm.
The RTP/RTCP agreements in S1-U interface, Mb are analyzed, generation Media Stream user's communication process voice quality
Analyze recording call list;Gm SIP signaling protocols are analyzed, generate the analysis record words of control plane signaling during user's communication
It is single.
In user speech communication process, the gateway IP that is carried in Media Stream and signaling protocol, gateway port, User IP,
" four-tuple " rules properties of user port have uniqueness, therefore based on " four-tuple " rule, can be by Media Stream ticket and letter
Face ticket is made to carry out the full record of accurate correlation, the signaling resolution result of communication process of generation and voice quality analysis result
File, the statistic analysis of a variety of dimensions can be realized based on complete record file.
Further, in order to lift VoLTE speech businesses experience, double guarantee is established from " network level " and " user class " respectively
System, the guarantee evaluation system of " four dimensions, ten indexs " is mainly used for network level security system, is protected for VVIP user classes
Barrier system mainly uses the analysis system of " voice quality is integrally given a mark, dynamic grading ".
Wherein, four dimensions include:Time dimension (monthly, day, the dimension of hour, 15 minutes are counted), scene dimension
(VoLTE-VOLTE, VoLTE-CS, VoLTE-OTHER (its net)), interface dimension (are presented for 4 key interfaces of voice quality
Crucial KPI indexs) and network element dimension (call is related to the analysis of each network element (containing cell, terminal) matter difference).Wherein, Fig. 3 be based on
The voice quality problem localization method of VoLTE-VoLTE, Fig. 4 are the stream of the voice quality problem localization method based on VoLTE-CS
Cheng Tu.Ten index includes MOS, VFS, packet loss, shake, time delay, no audio, single-pass, interrupted, noise, echo.
VoLTE network voice qualities integrated relational analysis method of the present invention is by gathering each number of ports of VoLTE medium surfaces
According to using G.107 algorithm evaluation VoLTE speech qualities, establishing complete set, quantifiable VoLTE voice quality assessments body
System;Innovation and application " four-dimensional four domains three focus on " method, precise positioning voice quality degrade a little;Net network level and user are landed in existing net
Level double shield system, utilizes big data method positive location MOS matter difference cell/terminal/network element.Open user face data
Black box, comprehensive lifting user perceive.
Specifically, the present invention provides a kind of VoLTE network voice quality integrated relational analysis quantifiable, implementation is strong
Method, the perception problems such as VoLTE speech qualities, single-pass, interrupted are visualized.
Innovation and application " four-dimensional four domains three focus on " VoLTE voice quality problems delimit positioning mode, quick in complex network
Precise positioning QOS degrades a little;
QOS double shield systems are landed in existing net, utilize big data method positive location MOS matter difference cell/terminal/net
Member, end-to-end lifting user perceive.
According to the various faults phenomenon MOS appraisal results during VOLTE voice call services, can be arranged according to rank height
Than the reasonable algorithm of decrement scheme, it can more intuitively show the total quality of call business, appraisal result can be as in area
The comprehensive examination and evaluation standard of the various dimensions such as domain, network element.
In addition, the present invention also provides a kind of VoLTE network voice qualities integrated relational analysis system.As shown in figure 5, this hair
Bright VoLTE network voice qualities integrated relational analysis system includes extraction unit 1, analytic unit 2 and determination unit 3.
The extraction unit 1 is used to extract data packet from Media Stream;The analytic unit 2 be used for the data packet into
Row analysis, determines the KPI Key Performance Indicator and Key Quality Indicator of voice-over-net;The determination unit 3 is used for respectively according to institute
State KPI Key Performance Indicator and Key Quality Indicator determines network voice quality.
Wherein, the KPI Key Performance Indicator includes packet loss, jitter conditions, encoding and decoding bandwidth and decay time.
Further, the analytic unit 2 analyzes the data packet, determines that the Key Performance of voice-over-net refers to
Mark, specifically includes identification module, analysis module and generation module.
The identification module is used to the data packet be identified, and determines RTCP data packets and RTP data packets;Described point
Analysis module is used to respectively analyze the RTCP data packets and RTP data packets, determines corresponding analysis result;The analysis
As a result communication packet loss, jitter conditions, encoding and decoding bandwidth and decay time, and the packet loss of each interface end to end are included
Rate, jitter conditions and encoding and decoding bandwidth;The generation module generates the statistics file of tabular according to each analysis result.
In addition, the analytic unit 2 analyzes the data packet, the Key Quality Indicator of voice-over-net is determined, have
Body includes the first computing module and the second computing module.
First computing module is according to the data packet, the R coefficient of calculating network transportation level;Described second calculates mould
Root tuber calculates voice and is averaged opinion value, the Key Quality for characterizing voice-over-net refers to according to the R coefficient of the network transmission aspect
Mark.
Wherein, first computing module calculates the R coefficient of the network transmission aspect according to formula (1):
R=Ro-Is-Id-Ie_eff+A (1);
Wherein, Ro represent network transmission signal-to-noise ratio, Is represent equipment combined probability, Id represent due to when extend to equipment lose
Superposition deterioration factor caused by effect, Ie_eff represent the deterioration factor brought by low bit rate encoder, and A is represented to user environment
The compensation of state.
The determination unit determines network voice quality according to the KPI Key Performance Indicator, specifically includes following at least one
Person:
Exceed given threshold without acquisition RTP data packets or packet loss in monitoring cycle, it is determined that conversing every time
During there is a situation where voice single-pass in short-term;
There is a situation where voice single-pass in short-term in continuous multiple monitoring cycles, it is determined that exist in each communication process
The situation of single-pass when voice is long;
Monitoring receives the interval duration of RTP data packets, the size of the interval duration and time threshold, if greatly
In, it is determined that there are the interrupted scene of voice in each communication process.
The determination unit 3 determines network voice quality according to Key Quality Indicator, specifically includes:Put down according to the voice
Equal opinion value, determines the rank of voice quality;Wherein, the rank of institute's Voice Quality is divided into Pyatyi, and level-one represents outstanding, two level
Represent, three-level represents general, and level Four represents bad, and Pyatyi represents poor.
Relative to the prior art, VoLTE network voice qualities integrated relational analysis system of the present invention and above-mentioned VoLTE networks
The beneficial effect of voice quality integrated relational analysis method is identical, and details are not described herein.
It should be understood that the particular order or level of the step of during disclosed are the examples of illustrative methods.Based on setting
Count preference, it should be appreciated that during the step of particular order or level can be in the feelings for the protection domain for not departing from the disclosure
Rearranged under condition.Appended claim to a method gives the key element of various steps with exemplary order, and not
It is to be limited to the particular order or level.
In above-mentioned detailed description, various features combine in single embodiment together, to simplify the disclosure.No
This open method should be construed to reflect such intention, i.e. the embodiment of theme claimed needs to compare
The more features of feature clearly stated in each claim.On the contrary, as appended claims is reflected
Like that, the present invention is in the state fewer than whole features of disclosed single embodiment.Therefore, appended claims
It is hereby expressly incorporated into detailed description, wherein each claim is alone as the single preferred embodiment of the present invention.
To enable any technical staff in the art to realize or using the present invention, above to disclosed embodiment into
Description is gone.To those skilled in the art;The various modifications mode of these embodiments will be apparent from, and this
The General Principle of text definition can also be suitable for other embodiments on the basis of the spirit and scope of the disclosure is not departed from.
Therefore, the disclosure is not limited to embodiments set forth herein, but most wide with principle disclosed in the present application and novel features
Scope is consistent.
Described above includes the citing of one or more embodiments.Certainly, in order to above-described embodiment is described and description portion
The all possible combination of part or method is impossible, but it will be appreciated by one of ordinary skill in the art that each implementation
Example can do further combinations and permutations.Therefore, embodiment described herein is intended to fall into the appended claims
Protection domain in all such changes, modifications and variations.In addition, with regard to the term used in specification or claims
"comprising", the mode that covers of the word are similar to term " comprising ", just as " including " solved in the claims as link word
As releasing.In addition, the use of any one term "or" in the specification of claims is to represent " non-exclusionism
Or ".
Those skilled in the art will also be appreciated that the various illustrative components, blocks that the embodiment of the present invention is listed
(illustrative logical block), unit, and step can pass through the knot of electronic hardware, computer software, or both
Conjunction is realized.To clearly show that the replaceability of hardware and software (interchangeability), above-mentioned various explanations
Property component (illustrativecomponents), unit and step universally describe their function.Such work(
Can be that specific application and the design requirement of whole system are depended on to realize by hardware or software.Those skilled in the art
Various methods can be used to realize the function, but this realization is understood not to for every kind of specific application
Beyond the scope of protection of the embodiment of the present invention.
Various illustrative logical blocks described in the embodiment of the present invention, or unit can by general processor,
Digital signal processor, application-specific integrated circuit (ASIC), field programmable gate array or other programmable logic devices, discrete gate
Or described function is realized or operated in transistor logic, discrete hardware components, or the design of any of the above described combination.General place
It can be microprocessor to manage device, and alternatively, which can also be any traditional processor, controller, microcontroller
Device or state machine.Processor can also be realized by the combination of computing device, such as digital signal processor and microprocessor,
Multi-microprocessor, one or more microprocessors combine a digital signal processor core, or any other like configuration
To realize.
The step of method or algorithm described in the embodiment of the present invention can be directly embedded into hardware, processor perform it is soft
Part module or the combination of both.Software module can be stored in RAM memory, flash memory, ROM memory, EPROM storages
Other any form of storaging mediums in device, eeprom memory, register, hard disk, moveable magnetic disc, CD-ROM or this area
In.Exemplarily, storaging medium can be connected with processor, so that processor can read information from storaging medium, and
Can be to storaging medium stored and written information.Alternatively, storaging medium can also be integrated into processor.Processor and storaging medium can
To be arranged in ASIC, ASIC can be arranged in user terminal.Alternatively, processor and storaging medium can also be arranged at use
In different components in the terminal of family.
In one or more exemplary designs, the described above-mentioned function of the embodiment of the present invention can be in hardware, soft
Part, firmware or any combination of this three are realized.If realized in software, these functions can store and computer-readable
On medium, or with one or more instruction or code form be transmitted on the medium of computer-readable.Computer readable medium includes electricity
Brain storaging medium and easy to allow computer program to be transferred to other local telecommunication medias from a place.Storaging medium can be with
It is that any general or special computer can be with the useable medium of access.For example, such computer readable media can include but
It is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disc storage, disk storage or other magnetic storage devices, or other
What can be used for carrying or store with instruct or data structure and it is other can be by general or special computer or general or specially treated
The medium of the program code of device reading form.In addition, any connection can be properly termed computer readable medium, example
Such as, if software is to pass through a coaxial cable, fiber optic cables, double from a web-site, server or other remote resources
Twisted wire, Digital Subscriber Line (DSL) or with defined in being also contained in of the wireless way for transmitting such as infrared, wireless and microwave
In computer readable medium.The disk (disk) and disk (disc) include Zip disk, radium-shine disk, CD, DVD, floppy disk
And Blu-ray Disc, disk is usually with magnetic duplication data, and disk usually carries out optical reproduction data with laser.Combinations of the above
It can also be included in computer readable medium.
Above-described embodiment, has carried out the purpose of the present invention, technical solution and beneficial effect further
Describe in detail, it should be understood that the foregoing is merely the embodiment of the present invention, be not intended to limit the present invention
Protection domain, within the spirit and principles of the invention, any modification, equivalent substitution, improvement and etc. done, should all include
Within protection scope of the present invention.
Claims (10)
- A kind of 1. VoLTE network voice qualities integrated relational analysis method, it is characterised in that the analysis method includes:Data packet is extracted from Media Stream;The data packet is analyzed, determines the KPI Key Performance Indicator and Key Quality Indicator of voice-over-net;Network voice quality is determined according to the KPI Key Performance Indicator and Key Quality Indicator respectively.
- 2. VoLTE network voice qualities integrated relational analysis method according to claim 1, it is characterised in that the pass Key performance indicators includes packet loss, jitter conditions, encoding and decoding bandwidth and decay time;It is described that the data packet is analyzed, determine the KPI Key Performance Indicator of voice-over-net, specifically include:The data packet is identified, determines RTCP data packets and RTP data packets;The RTCP data packets and RTP data packets are analyzed respectively, determine corresponding analysis result;The analysis result bag Include communication packet loss, jitter conditions, encoding and decoding bandwidth and decay time end to end, and the packet loss of each interface, shake Situation and encoding and decoding bandwidth.
- 3. VoLTE network voice qualities integrated relational analysis method according to claim 2, it is characterised in that described right The data packet is analyzed, and is determined the KPI Key Performance Indicator of voice-over-net, is further included:According to each analysis result, the statistics file of tabular is generated.
- 4. VoLTE network voice qualities integrated relational analysis method according to claim 1, it is characterised in that described right The data packet is analyzed, and is determined the Key Quality Indicator of voice-over-net, is specifically included:According to the data packet, the R coefficient of calculating network transportation level;According to the R coefficient of the network transmission aspect, calculate voice and be averaged opinion value, for characterizing the Key Quality of voice-over-net Index.
- 5. VoLTE network voice qualities integrated relational analysis method according to claim 4, it is characterised in that according to Lower formula calculates the R coefficient of the network transmission aspect:R=Ro-Is-Id-Ie_eff+A;Wherein, Ro represents network transmission signal-to-noise ratio, and Is represents equipment combined probability, Id represent due to when extend to equipment failure and lead The superposition deterioration factor of cause, Ie_eff represent the deterioration factor brought by low bit rate encoder, and A is represented to user environment state Compensation.
- 6. a kind of VoLTE network voice qualities integrated relational analysis system, it is characterised in that the analysis system includes:Extraction unit, for extracting data packet from Media Stream;Analytic unit, for analyzing the data packet, determines the KPI Key Performance Indicator and Key Quality of voice-over-net Index;Determination unit, for determining network voice quality according to the KPI Key Performance Indicator and Key Quality Indicator respectively.
- 7. VoLTE network voice qualities integrated relational analysis system according to claim 6, it is characterised in that the pass Key performance indicators includes packet loss, jitter conditions, encoding and decoding bandwidth and decay time;The analytic unit analyzes the data packet, determines the KPI Key Performance Indicator of voice-over-net, specifically includes:Identification module, for the data packet to be identified, determines RTCP data packets and RTP data packets;Analysis module, for analyzing respectively the RTCP data packets and RTP data packets, determines corresponding analysis result; The analysis result includes communication packet loss, jitter conditions, encoding and decoding bandwidth and decay time, and each interface end to end Packet loss, jitter conditions and encoding and decoding bandwidth.
- 8. VoLTE network voice qualities integrated relational analysis system according to claim 7, it is characterised in that described point Analysis unit further includes:Generation module, for according to each analysis result, generating the statistics file of tabular.
- 9. VoLTE network voice qualities integrated relational analysis system according to claim 6, it is characterised in that described point Analysis unit analyzes the data packet, determines the Key Quality Indicator of voice-over-net, specifically includes:First computing module, for according to the data packet, the R coefficient of calculating network transportation level;Second computing module, for the R coefficient according to the network transmission aspect, calculates voice and is averaged opinion value, for characterizing The Key Quality Indicator of voice-over-net.
- 10. VoLTE network voice qualities integrated relational analysis system according to claim 9, it is characterised in that described One computing module calculates the R coefficient of the network transmission aspect according to the following formula:R=Ro-Is-Id-Ie_eff+A;Wherein, Ro represents network transmission signal-to-noise ratio, and Is represents equipment combined probability, Id represent due to when extend to equipment failure and lead The superposition deterioration factor of cause, Ie_eff represent the deterioration factor brought by low bit rate encoder, and A is represented to user environment state Compensation.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810077857.1A CN108040341A (en) | 2018-01-26 | 2018-01-26 | A kind of VoLTE network voice qualities integrated relational analysis method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810077857.1A CN108040341A (en) | 2018-01-26 | 2018-01-26 | A kind of VoLTE network voice qualities integrated relational analysis method and system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108040341A true CN108040341A (en) | 2018-05-15 |
Family
ID=62097448
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810077857.1A Pending CN108040341A (en) | 2018-01-26 | 2018-01-26 | A kind of VoLTE network voice qualities integrated relational analysis method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108040341A (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108650550A (en) * | 2018-07-05 | 2018-10-12 | 平安科技(深圳)有限公司 | Network transmission quality analysis method, device, computer equipment and storage medium |
CN110267302A (en) * | 2019-06-18 | 2019-09-20 | 广东以诺通讯有限公司 | A kind of raising VoWiFi business service quality method and system |
CN111294249A (en) * | 2018-12-06 | 2020-06-16 | ***通信集团陕西有限公司 | Method and device for determining one-way problem |
CN111371575A (en) * | 2018-12-25 | 2020-07-03 | 武汉绿色网络信息服务有限责任公司 | Method and device for delimiting call problem |
CN112203332A (en) * | 2020-09-27 | 2021-01-08 | 南京嘉环科技股份有限公司 | VoLTE accurate switching method and system based on user perception |
CN114040441A (en) * | 2021-11-12 | 2022-02-11 | 中盈优创资讯科技有限公司 | VoLTE service quality sensing method and device |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101272216A (en) * | 2007-03-20 | 2008-09-24 | 北京中创信测科技股份有限公司 | Speech analyzing method and system, speech capturing front end machine |
CN101437032A (en) * | 2008-12-19 | 2009-05-20 | 重庆邮电大学 | System for monitoring VOIP voice quality based on SIP protocol and detection method thereof |
CN101997729A (en) * | 2009-08-12 | 2011-03-30 | 华为技术有限公司 | Network control method and device |
CN104517613A (en) * | 2013-09-30 | 2015-04-15 | 华为技术有限公司 | Method and device for evaluating speech quality |
US20150333856A1 (en) * | 2014-05-15 | 2015-11-19 | Carrier Iq, Inc. | End-to-End Real-time Transport Protocol (RTP) Packet Transmission Delay Measurement Apparatus and Method |
-
2018
- 2018-01-26 CN CN201810077857.1A patent/CN108040341A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101272216A (en) * | 2007-03-20 | 2008-09-24 | 北京中创信测科技股份有限公司 | Speech analyzing method and system, speech capturing front end machine |
CN101437032A (en) * | 2008-12-19 | 2009-05-20 | 重庆邮电大学 | System for monitoring VOIP voice quality based on SIP protocol and detection method thereof |
CN101997729A (en) * | 2009-08-12 | 2011-03-30 | 华为技术有限公司 | Network control method and device |
CN104517613A (en) * | 2013-09-30 | 2015-04-15 | 华为技术有限公司 | Method and device for evaluating speech quality |
US20150333856A1 (en) * | 2014-05-15 | 2015-11-19 | Carrier Iq, Inc. | End-to-End Real-time Transport Protocol (RTP) Packet Transmission Delay Measurement Apparatus and Method |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108650550A (en) * | 2018-07-05 | 2018-10-12 | 平安科技(深圳)有限公司 | Network transmission quality analysis method, device, computer equipment and storage medium |
CN108650550B (en) * | 2018-07-05 | 2021-06-25 | 平安科技(深圳)有限公司 | Network transmission quality analysis method and device, computer equipment and storage medium |
CN111294249A (en) * | 2018-12-06 | 2020-06-16 | ***通信集团陕西有限公司 | Method and device for determining one-way problem |
CN111371575A (en) * | 2018-12-25 | 2020-07-03 | 武汉绿色网络信息服务有限责任公司 | Method and device for delimiting call problem |
CN111371575B (en) * | 2018-12-25 | 2021-05-07 | 武汉绿色网络信息服务有限责任公司 | Method and device for delimiting call problem |
CN110267302A (en) * | 2019-06-18 | 2019-09-20 | 广东以诺通讯有限公司 | A kind of raising VoWiFi business service quality method and system |
CN112203332A (en) * | 2020-09-27 | 2021-01-08 | 南京嘉环科技股份有限公司 | VoLTE accurate switching method and system based on user perception |
CN114040441A (en) * | 2021-11-12 | 2022-02-11 | 中盈优创资讯科技有限公司 | VoLTE service quality sensing method and device |
CN114040441B (en) * | 2021-11-12 | 2023-12-08 | 中盈优创资讯科技有限公司 | VoLTE service quality sensing method and device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108040341A (en) | A kind of VoLTE network voice qualities integrated relational analysis method and system | |
CN106304180A (en) | A kind of method and device of the speech service quality determining user | |
CN103632680B (en) | A kind of speech quality assessment method, network element and system | |
Piamrat et al. | Quality of experience measurements for video streaming over wireless networks | |
US20170237777A1 (en) | System and method to estimate quality of experience for consumption of encrypted media network traffic | |
US8537683B2 (en) | Method for estimating the quality of experience of a user in respect of audio and/or video contents distributed through telecommunications networks | |
US10284712B2 (en) | Voice quality evaluation method, apparatus, and system | |
CN102547475B (en) | Method and system for improving quality of service alarming accuracy of Internet protocol (IP) video media stream | |
CN108199916A (en) | A kind of VoLTE voice quality monitors method and system | |
CN109995668B (en) | Flow control method and device and storage medium | |
CN107667504A (en) | The analysis of user experience quality is carried out using echolocation | |
WO2014067283A1 (en) | Network failure detecting method, node, and monitoring center | |
US20200220918A1 (en) | 2G3G4G Speech Quality Fault Four-Domain Six-Dimension Intelligent Delimitation Method | |
CN102904822A (en) | Hierarchical recognition method of VoIP (Voice Over Internet Protocol) network flow | |
CN108269589A (en) | For the speech quality assessment method and its device of call | |
CN106658058A (en) | Multiple-client-terminal-based video transmission rate synchronization management method and the management system | |
CN109994128B (en) | Voice quality problem positioning method, device, equipment and medium | |
CN103686833A (en) | Mobile network voice quality estimating method and device | |
Clark et al. | Understanding the metrics of internet broadband access: How much is enough? | |
Zhang et al. | Perceived QoS assessment for Voip networks | |
CN102123092B (en) | A kind of multicast performance analytical method and system | |
CN103888479B (en) | Method, device and electronic equipment for determining associated non-standard VOIP data flow | |
CN104283850A (en) | Method and system for judging integrity of media stream in network | |
CN111935769B (en) | Poor cell identification method, device and equipment | |
CN114039955A (en) | Communication safety monitoring system based on artificial intelligence |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180515 |