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A Method Of Cross Domain QoE Guarantee Based On Isomorphic Flows For Network Multimedia Traffic

Posted on:2019-07-09Degree:MasterType:Thesis
Country:ChinaCandidate:Q Q XingFull Text:PDF
GTID:2428330548484813Subject:Internet Technology
Abstract/Summary:PDF Full Text Request
To guarantee end-to-end Quality of Experience(QoE)for the network multimedia traffic over Heterogeneous Networks(HNs),there are some challenges as follows:(1)It is unreasonable to classify network multimedia traffics without considering Qo E;(2)The typical QoE prediction models have deficiencies;(3)The typical control methods of QoE resource ignore the fuzziness of QoE;(4)The simulation tool is lacking to study cross domain network performance for multimedia traffics in DiffServ+WLAN(Wireless Local Area Networks)networks.To solve the above problems,this thesis is inspired by the isomorphism concept from abstract algebra,utilizes the characteristics of fuzzy form user's Qo E,and presents a method of cross domain Qo E guarantee for network multimedia traffics based on the Isomorphic flow by the reasonably classifying multimedia traffics and dynamically adjusting priority of traffic,as following:(1)To address the problem that the existing traffic classification methods do not consider QoE,based on the isomorphism concept from abstract algebra,this paper presents a classification method of isomorphic flow that is generated according similar QoE requirements from the point of view of QoE.The simulation results show that the new method decreases loss rate and increases also the number of user;(2)To solve the problem that typical Qo E perdition models need be modified,according to Weber-Fechner Law(WFL)and pseudo Subjective Quality Assessment(PSQA),this paper presents a modified QoE prediction method.By modifying relationship between the packet loss rate and MoS,the proposed method decreases the sum of Squares for error(SSE)and Root Mean Squared Error(RMSE)and increases the similarity coefficient(R-square);(3)To solve the problem that the typical method don't consider the fuzzy of QoE,this paper uses isomorphic flow,utilizes modified QoEprediction method and fuzzy control to dynamically adjust priority of traffic.The simulation results show that the proposed method improves obviously decreases loss rate and increases also the number of user;(4)To solve the problem that simulation tool is lacking to study cross domain network performance for multimedia traffics,by utilizing IPv6 flow label and accepting OPNET software tools,this paper designs a DiffServ+WLAN(Wireless Local Area Networks)network simulation environment to study the cross-domain network performance.
Keywords/Search Tags:Heterogeneous networks, QoS, QoE, Isomorphic flow, Fuzzy Control
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