QoS: From WIFI to UMTS

Amin, Belhocine; Didi, Fedoua

doi:10.1109/icimtr.2012.6236387

Cited by 1 publication

(1 citation statement)

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“…Paper [30] proposes a network mapping scheme based on aggregation flow to address the end-to-end quality of multimedia services in heterogeneous networks, , which avoids loss of information due to mapping between different granularity QoS domains of QoS classes and provides effective network resources according to user QoE. WiFi network provides four Access Categories (AC) ( AC_VO, AC_VI, AC_BE and AC_BK..)and eight user priorities(0~7)for traffics [31]. LTE [32] defines 9 categories for traffics, in which QoS Class Identifier (QCI) is used as identification mark and the range of QCI is 1-9, corresponding to different resource types, priority, delay and packet loss rate.…”

Section: Traffic Classificationmentioning

confidence: 99%

New Cross-Domain QoE Guarantee Method Based on Isomorphism Flow

Wang

Chen

Wang

et al. 2019

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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This paper investigates the issue of Quality of Experience (QoE) for multimedia services in Internet of Things (IoT), introduces a new concept of "Isomorphism Flow"(iFlow) for multimedia traffic in IoT, which is inspired by abstract algebra based on experimental research and is aggregated from the multimedia traffics with similar Quality of Experience (QoE) requirements for different users, and improves typical QoE evaluation method for multimedia traffic in IoT.Then a new cross-domain QoE guarantee method based on the iFlow QoE is proposed in this paper to adjust the network resource from the perspective of user perception. The proposed scheme is validated through simulation, which indicates the proposed scheme outperforms the current scheme. Specifically, simulation results show that the proposed scheme achieves an enhancement in QoE performance for the multimedia traffics. Furthermore, it retains the perceived QoE of the real-time application users within high satisfaction levels.

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Section: Traffic Classificationmentioning

confidence: 99%