CN101237687B - Method for automatic generation of network element deployment parameters - Google Patents

Method for automatic generation of network element deployment parameters Download PDF

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CN101237687B
CN101237687B CN200710063405XA CN200710063405A CN101237687B CN 101237687 B CN101237687 B CN 101237687B CN 200710063405X A CN200710063405X A CN 200710063405XA CN 200710063405 A CN200710063405 A CN 200710063405A CN 101237687 B CN101237687 B CN 101237687B
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parameter
quality
experience
service
network element
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CN101237687A (en
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张炎
王敬宇
王南掬
杨若望
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China Mobile Communications Group Co Ltd
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China Mobile Communications Group Co Ltd
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Abstract

The invention relates to a method used for automatic generation of net element allocation parameter, comprising the following steps: experience quality parameter selected according to predetermined service is input; according to a parameter mapping model of experience quality and service quality, the experience quality parameter is mapped to become the service quality parameter of each correlative net element inside a current service network; the service quality parameter of each correlative net element is compared with the acquired practical service quality level of the current service network, thereby obtaining a service quality parameter according with practical service quality level after adjustment. The method which establishes the mapping relations between different network hierarchies and different logic net elements forms a two-dimensional logical system; moreover, according to the two-dimensional logical system, the method establishes a mathematical model to analyze the quantification mapping relation between QoS parameter and QoE parameter; during selecting the QoE parameter, the selection is carried out through the testing and statistical analysis of a large sample according to the key factors of user survey and market research, thereby quantizing the relation between performance indexes.

Description

Automatically generate the method for network element deployment parameters
Technical field
The present invention relates to the method for the automatic generation network element deployment parameters in the mobile communications network, be directed to the method for the automatic generation network element deployment parameters that end to end services carries out in especially a kind of mobile communication.
Background technology
Along with the progress of mechanics of communication, end to end services is growing up gradually also, and for the participation each side of mobile communication such as operator, service provider and equipment supplier, the assessment of teleservice performance is very important.For operator, the end to end services Performance Evaluation has very important significance to further network design.In present stage, also lack normal structure and import authority's standard in this field targetedly, though also there are some relevant technology contents, but all start with usually from the angle of engineering, key problem in technology point to business service carries out research and analysis, for example, only the measurability of bearer network can index be quantized, and estimate the quality of the business that bottom-layer network provides as standard; Perhaps only the key technology in the application layer is researched and analysed, for example the performance of multimedia service audio/video encoding/decoding is weighed parameter index.
Above-mentioned Performance Evaluation only carries out research and analysis to the key problem in technology point often, has certain defective: at first be in the end to end services Performance Evaluation, various performance parameters all are in a plane, perhaps only carry out layering, lack certain mapping relations between the performance parameter according to some simple rules; Secondly, choosing and measuring of performance parameter index often relies on research experience, ignored some possible in user and market deciding factors; In addition, present this service feature assessment does not also have Mathematical Modeling complete, system, does not have certain quantification mapping relations between index yet, therefore makes performance evaluation isolated, is difficult to obtain evaluation result accurately, thereby can't carries out network element deployment accurately and effectively.
Summary of the invention
The objective of the invention is to carry out accurately and effectively the problem of network element deployment at appraisement system by existing teleservice, a kind of method of automatic generation network element deployment parameters is proposed, can be called for short QoE according to user experience quality Quality of Experience) the suitable network element deployment scheme of selection.
For achieving the above object, the invention provides a kind of method of automatic generation network element deployment parameters, it may further comprise the steps:
Input is according to the experience quality parameter of intended service selection and the weight of described experience quality parameter;
Described experience quality parameter is mapped as service quality (Quality of Service the is called for short QoS) parameter of each related network elements in the current business network according to the parameter maps model of Quality of experience and service quality;
The QoS parameter of described each related network elements is compared with the active service quality level that obtains the current business network, obtain the QoS parameter of realistic service quality level after the adjustment, and described each related network elements is disposed accordingly; Wherein, if described QoS parameter exceeds active service quality level, then adjust this QoS parameter up to realistic service quality level according to the weight of described experience quality parameter.
In technique scheme, can also before the operation of the experience quality parameter that described input is selected according to intended service, QoS parameter be divided by network element and network layer according to the open system interconnection standard, obtain the service quality hierarchical model.The operation that experience quality parameter is mapped as the QoS parameter of each related network elements in the current business network can further be specially: select the network element relevant with described experience quality parameter according to described service quality hierarchical model; Described experience quality parameter is mapped as the QoS parameter of the described network element relevant according to the parameter maps model of described Quality of experience and service quality with experience quality parameter.
When QoS parameter that calculates and actual value comparison, the QoS parameter of described each network element must be compared one by one with the active service quality level that obtains the current business network, if the realistic service quality level of certain QoS parameter is then chosen this QoS parameter; If certain QoS parameter exceeds active service quality level, then adjust this QoS parameter up to realistic service quality level.
Further, the calculating of described experience quality parameter and weight is before the operation of the experience quality parameter that described input is selected according to intended service, its step is specially: all relevant experience quality parameters of described intended service are carried out independence or the test of combination large sample, obtain that influence degree surpasses the experience quality parameter of predetermined threshold and the weight of this experience quality parameter in all relevant experience quality parameters.
In the experience quality parameter that described input is selected according to intended service, can import the weight of described experience quality parameter; When this QoS parameter of described adjustment, according to the weight of described experience quality parameter QoS parameter is adjusted, then up to realistic service quality level.
If intended service is a streaming media service in the technique scheme, then need all relevant experience quality parameters of streaming media service are carried out independence or the test of combination large sample, obtaining relevant experience quality parameter and weight, described experience quality parameter comprise service can not access rate, the initial connect hours, heavily cushion make up in frequency, heavy buffer time, audio quality, video quality, audio-visual synchronization error rate, audio-visual synchronization time and the service mortality partly or entirely.
Based on above-mentioned technical scheme, the present invention has set up the mapping relations between different levels, the Different Logic network element, constituted two-dimentional System of Logic, and set up Mathematical Modeling according to two-dimentional System of Logic, with the quantification mapping relations between Analysis Service quality and the experience quality parameter, according to the key factor in user investigation and the market survey performance index are chosen at last, thereby both can the relation between the performance index be quantized, and can in the performance evaluation result, reflect some deciding factors again.
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Description of drawings
Fig. 1 is the schematic diagram of service quality hierarchical model of the present invention.
Fig. 2 is the schematic diagram of the parameter maps model of Quality of experience of the present invention and service quality.
Fig. 3 generates the schematic flow sheet of an embodiment of the method for network element deployment parameters automatically for the present invention.
Fig. 4 generates the schematic flow sheet of another embodiment of the method for network element deployment parameters automatically for the present invention.
Embodiment
The present invention carries out the layering of vertical and horizontal according to network layer and different network elements to qos parameter, and will represent that the QoE parameter of user experience impression and the qos parameter after the layering carry out the mapping of certain rule, and sets up mapping model.Carry out one new professional or when existing business is optimized, can set out according to the angle of user experience, and each relevant network element be carried out more excellent deployment according to the practical capacity of network element in the existing network.
As shown in Figure 1, schematic diagram for invention service quality hierarchical model, vertically represent network layer in the drawings, the network layer here is meant the level of stipulating in the OSI network model, comprises data link layer and physical layer that application layer, transport layer and transport layer are following.Laterally represent the related network element of this business in the drawings.For a certain QoS of survice parameter, can obtain the hierarchical model of service quality by above horizontal vertical layering.With the streaming media service is example, it is a lot of to relate to this professional qos parameter, comprising: frame sign (Frame size), frame per second (Frame rate), frame loss rate (Frame lossratio), FER (Floating Error Rate) (Frame error ratio), FER (Floating Error Rate) (Frame error ratio), transfer rate (Transaction rate), transmission delay (Transaction delay), bandwidth (Bandwidth), transmission delay (Transfer delay), shake (Jitter), loss rate (Packet loss ratio), PER (Packet error ratio), frame loss ratio (Frame discard ratio), remaining bits rate (Residual bit ratio), base station power (Base station power), access delay (Access delay), blocking rate (Block ratio), soft cutting off rate (Soft handoff rate).
Divide according to network layer, the related qos parameter of application layer has: frame sign, frame per second, frame loss rate, FER (Floating Error Rate), FER (Floating Error Rate), transfer rate and transmission delay.The related qos parameter of transport layer has: bandwidth, transmission delay, shake, loss rate and PER.The related qos parameter of the following level of transport layer (data link layer and physical layer) has: frame loss rate, FER (Floating Error Rate), frame loss ratio, remaining bits rate, base station power, access delay, blocking rate and soft cutting off rate.
Divide qos parameter according to network element and be meant according to the different segment in the end to end network, the qos parameter that terminal or client, wireless network transmission, wireless access and control thereof, fixed network transmission and server etc. relate to is separately divided.Wherein fixed network transmits and comprises core net and service carrying network.
As shown in Figure 2, be the schematic diagram of the parameter maps model of Quality of experience of the present invention and service quality.Quality of experience is relevant with type of service, be example with the streaming media service equally, the QoE parameter comprises: service can not access rate (Service non-Accessbility), the initial connect hours (Initial Connectiontime), the initial buffer time (Initial buffering time), heavily cushion frequency (Rebufferingfrequency), towards buffer time (Rebuffering time), audio quality (Audio quality), video quality (Video quality), audio-visual synchronization error rate (Audio/Video Synchronizeerror frequency), the audio-visual synchronization time (Audio/Video Synchronize time), serv-fail rate (Service failure ratio) etc.
Constituted the parameter maps model of Quality of experience and service quality at the QoE of Fig. 2 parameter and service quality hierarchical model, the QoE parameter can be corresponding one by one with qos parameter in the parameter maps model, but the also correspondence of one-to-many or multi-to-multi, the quantification mapping relations between QoE parameter and the qos parameter embody by this parameter maps model.
For network element deployment of the present invention, its basis is choosing of QoE parameter, need require to test to obtain the QoE parameter to this performance of services according to class of business and user.In network, may move the multiple business type, and for different concrete business, also inequality to the requirement of QoE, for example some business is higher to delay requirement, some business is relatively more responsive to packet loss, therefore must consider the realization of miscellaneous service when disposing network element.When considering the QoE parameter, need separately to consider by professional.
With concrete business (streaming media service) for instance, have which QoE parameter itself to be determined by professional, the weight of QoE parameter then obtains according to independent or the test of combination large sample.All to carry out independence or Combination Design sample for each QoE parameter, for example the independent parameter sample can be designed as the nonsynchronous situation of a kind of lips and teeth, the combination parameter sample then can be designed as the situation of a kind of video mosaic+vision signal shake, above sample is tested inspection user experience for the QoE parameter under different situations, and give a mark by the tester.
By the large sample test, tester's individual special case factor can be dropped to very low degree, and draw relatively accurate QoE priority, and this method is a kind of Study on general method of studying non-definite problem by statistics and probability theory.
The large sample test result is carried out statistical analysis, draw the influence degree size of QoE parameter, thereby finally draw priority and the weight of QoE parameter business realizing to business realizing.The QoE parameter is sorted by the priority that influences business experience, and by the corresponding in proportion one-tenth weighted value of the appraisal result of each parameter.For example for video stream traffic, the nonsynchronous sample scoring of audio frequency and video average is 2.7 (5 fens systems), the sample average of video mosaic is 0.5 (5 fens system), thereby can be the weight definition of the asynchronous parameter of audio frequency and video 2.7/5=0.54, the weight definition of video mosaic be 0.5/5=0.1.
As shown in Figure 3, generate the schematic flow sheet of an embodiment of the method for network element deployment parameters automatically for the present invention, may further comprise the steps:
The QoE parameter that step 101, input are selected according to intended service;
Step 102, with the QoE parameter maps qos parameter of each related network elements in the current business network according to the parameter maps model of QoE and QoS;
Step 103, the qos parameter of each related network elements and the actual QoS level that obtains the current business network are compared, obtain the qos parameter of realistic QoS level after the adjustment.
In the present embodiment, in step 101, can in input QoE parameter, the pairing weight of QoE parameter also be imported.In step 103, adjust in this qos parameter, can adjust qos parameter, be in course of adjustment based on the big QoE parameter of weight according to the weight of QoE parameter.For instance, the QoE parameter is for starting time delay, the so-called time delay that starts is meant that click is played to the time course of beginning displaying video, can map out qos parameter by the parameter maps model is time delay, be the blanking time that the transport layer data bag arrives, the value that starts delay parameter equals the summation of each network element time delay relevant with starting time delay in the QoS layer.
As shown in Figure 4, generate the schematic flow sheet of another embodiment of the method for network element deployment parameters automatically for the present invention, may further comprise the steps:
The QoE parameter that step 101, input are selected according to intended service;
Step 102a, select network element with the QoE parameter correlation according to the QoS hierarchical model, the QoS hierarchical model is divided into a plurality of network elements on level, needs to select some network element with this QoE parameter correlation;
Step 102b, in the parameter maps model of QoE and QoS, search the mapping model corresponding with related network elements, be qos parameter with the QoE parameter maps then;
Step 103, the qos parameter of each related network elements and the actual QoS level that obtains the current business network are compared, obtain the qos parameter of realistic QoS level after the adjustment.
In the step 103 of present embodiment, the actual QoS level of each network element compares one by one in the network that each network element qos parameter that mapping obtains according to the parameter maps model and reality can be obtained, if the realistic service quality level of qos parameter is then chosen this QoS amount parameter; If described qos parameter exceeds the actual QoS level, then adjust this qos parameter up to realistic QoS level.If in input QoE parameter, imported the weight of QoE parameter simultaneously, then also can adjust qos parameter, up to realistic QoS level according to the weight of QoE parameter.
Here also describe for example, video quality as the QoE parameter, comprise parameters such as fuzzy pictures degree, picture destruction, the parameter that is mapped to the QoS layer by the parameter maps model is a bandwidth, and the decisive qos parameter of decision video quality quality is exactly the minimum value in each network element bandwidth of QoS layer.
After obtaining the qos parameter of each network element correspondence, can dispose accordingly according to the situation of each network element, for the simultaneous system of multiple business, need all carry out obtaining of qos parameter to every kind of business, thereby guarantee that each network element can realize more excellent performance requirement according to the QoE parameter.
In sum, the present invention has set up the mapping relations between heterogeneous networks level, the Different Logic network element, constituted two-dimentional System of Logic, and set up Mathematical Modeling according to two-dimentional System of Logic, to analyze the quantification mapping relations between QoS and the QoE parameter, when selecting the QoE parameter, test and the statistical analysis by large sample obtains after adjusting according to the key factor in user investigation and the market survey, thereby can quantize the relation between the performance index.
Should be noted that at last: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit; Although with reference to preferred embodiment the present invention is had been described in detail, those of ordinary skill in the field are to be understood that: still can make amendment or the part technical characterictic is equal to replacement the specific embodiment of the present invention; And not breaking away from the spirit of technical solution of the present invention, it all should be encompassed in the middle of the technical scheme scope that the present invention asks for protection.

Claims (5)

1. method that automatically generates network element deployment parameters, it may further comprise the steps:
Input is according to the experience quality parameter of intended service selection and the weight of described experience quality parameter;
Described experience quality parameter is mapped as the QoS parameter of each related network elements in the current business network according to the parameter maps model of Quality of experience and service quality;
The QoS parameter of described each related network elements is compared with the active service quality level that obtains the current business network, obtain the QoS parameter of realistic service quality level after the adjustment, and described each related network elements is disposed accordingly; Wherein, if described QoS parameter exceeds active service quality level, then adjust this QoS parameter up to realistic service quality level according to the weight of described experience quality parameter.
2. the method for automatic generation network element deployment parameters according to claim 1, wherein before the operation of the experience quality parameter that described input is selected according to intended service, QoS parameter is divided by network layer and network element according to the open system interconnection standard, obtained the service quality hierarchical model.
3. the method for automatic generation network element deployment parameters according to claim 2, wherein said parameter maps model according to Quality of experience and service quality is specially the operation that described experience quality parameter is mapped as the QoS parameter of each related network elements in the current business network:
Select the network element relevant according to described service quality hierarchical model with described experience quality parameter;
Described experience quality parameter is mapped as the QoS parameter of the described network element relevant according to the parameter maps model of described Quality of experience and service quality with experience quality parameter.
4. according to the method for the described automatic generation network element deployment parameters of one of claim 1-3, wherein the QoS parameter with described each network element compares with the active service quality level that obtains the current business network, adjustment obtains the operation of the QoS parameter of realistic service quality level, also comprises:
The QoS parameter of described each network element is compared one by one with the active service quality level that obtains the current business network, if the realistic service quality level of described QoS parameter is then chosen this QoS parameter.
5. the method for automatic generation network element deployment parameters according to claim 4, wherein before the operation of the experience quality parameter that described input is selected according to intended service, also comprise and obtain the experience quality parameter relevant and the step of weight with described intended service, be specially: all relevant experience quality parameters of described intended service are carried out independence or the test of combination large sample, obtain that influence degree surpasses the experience quality parameter of predetermined threshold and the weight of this experience quality parameter in all relevant experience quality parameters.
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