Quality-of-experience assessment and its application to video services in lte networks

Zheng, Kan; Zhang, Xiaoli; Zheng, Qiang; Wang, Xiang; Hanzo, Lajos

doi:10.1109/mwc.2015.7054721

Cited by 82 publications

(46 citation statements)

References 11 publications

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“…Although they claim that their mapping methods can be easily applied to different services, they do not consider the overhead of retraining the correlation models. The BP‐PSO–based QoE assessment method proposed for video service over LET networks uses PSO‐based postprocessing to reduce the error between the predicted and subjective QoE values . The QoE/QoS correlation model of cellular networks is established by using two‐layer BP neural network .…”

Section: Numerical Results and Analysismentioning

confidence: 99%

Modular and deep QoE/QoS mapping for multimedia services over satellite networks

Wang

Huang

2018

Int J Communication

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Summary Satellite networks are promising alternatives to deal with the increasing traffic volume and provide universal access for end users. Quality of experience (QoE) as an aggregate of user perception and network quality will be a critical success factor for multimedia service delivery over satellite networks. Quality of experience prediction based on quality of service (QoS) has received much attention recently, but it has been little investigated in satellite networks. In this paper, on the basis of the modular neural network and deep belief networks (DBNs), we design a QoE/QoS mapping method for multimedia services over satellite networks to translate QoS parameters into user QoE. The task of QoE/QoS mapping for multimedia services is decomposed into several different subtasks by using traffic classification. Heterogeneous DBNs are used to learn the mapping relationships between QoE and QoS for different types of services (ie, subtask) simultaneously. An integrative approach based on relative distance is exploited to select subneural network(s) to predict resulting QoE collaboratively. To determine the weight parameters of the QoE/QoS correlation model, the dataset composed of QoS parameters and subjective opinion scores is built on the basis of satellite network simulator and subjective test. Finally, the effectiveness of our QoE/QoS mapping method is validated, and the relationship between adoption rating and opinion scores is analyzed.

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Section: Numerical Results and Analysismentioning

confidence: 99%

Modular and deep QoE/QoS mapping for multimedia services over satellite networks

Wang

Huang

2018

Int J Communication

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“…More importantly, we need to consider various applications and users who have different requirements for QoS and quality of experience (QoE) [15]. SD-Robot needs to design a set of schemes for each type of user separately.…”

Section: Testbedmentioning

confidence: 99%

Software defined healthcare networks

Qiu

Song

et al. 2015

IEEE Wireless Commun.

111

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“…As of the exponential increasing load of wireless communications networks, research on network architecture and quality of service has been done in various fields [1][2][3]. As for communication systems, one of the most important problems is that the capacity of them becomes insufficient.…”

Section: Introductionmentioning

confidence: 99%

Multiuser Beamforming with Limited Feedback for FDD Massive MIMO Systems

Zheng

Zhao

et al. 2016

Chinese Journal of Engineering

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This paper discusses the multiuser beamforming in FDD massive MIMO systems. It first introduces the feature of FDD massive MIMO systems to implement multiuser beamforming schemes. After that, considering the realistic implementation of multiuser beamforming scheme in FDD massive MIMO systems, it introduces the knowledge of channel quantization. In the main part of the paper, we introduce two traditional multiuser beamforming schemes and analyse their merits and demerits. Based on these, we propose a novel multiuser beamforming scheme to flexibly combine the merits of the traditional beamforming schemes. In the final part of the paper, we give some simulation results to compare the beamforming schemes mentioned in the paper. These simulation results show the superiority of the proposed beamforming scheme.

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Quality-of-experience assessment and its application to video services in lte networks

Cited by 82 publications

References 11 publications

Modular and deep QoE/QoS mapping for multimedia services over satellite networks

Modular and deep QoE/QoS mapping for multimedia services over satellite networks

Software defined healthcare networks

Multiuser Beamforming with Limited Feedback for FDD Massive MIMO Systems

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