MOS-Based Congestion Control for Conversational Services in Wireless Environments

Habachi, Oussama; Hu, Yuchong; Schaar, Mihaela van der; Hayel, Yézékaël; Wu, Feng

doi:10.1109/jsac.2012.120808

Cited by 18 publications

(5 citation statements)

References 16 publications

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“…Media-TCP is shown to improve the PSNR over the conventional TCP congestion control approaches. While Media-TCP is still QoS-based, a MOS-based congestion control for multimedia transmission is proposed in [165]. The MOS value is estimated in real time by the Microsoft Lync system, based on quantitative measurements such as packet loss, bit errors, packet delay and jitter.…”

Section: B Qoe-aware Congestion Controlmentioning

confidence: 99%

From QoS to QoE: A Tutorial on Video Quality Assessment

Chen

Zhang

2015

IEEE Commun. Surv. Tutorials

289

124

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Quality of Experience (QoE) is the perceptual Quality of Service (QoS) from the users' perspective. For video service, the relationship between QoE and QoS (such as coding parameters and network statistics) is complicated because users' perceptual video quality is subjective and diversified in different environments. Traditionally, QoE is obtained from subjective test, where human viewers evaluate the quality of tested videos under a laboratory environment. To avoid high cost and offline nature of such tests, objective quality models are developed to predict QoE based on objective QoS parameters, but it is still an indirect way to estimate QoE. With the rising popularity of video streaming over the Internet, data-driven QoE analysis models have newly emerged thanks to availability of large-scale data. In this article, we give a comprehensive survey of the evolution of video quality assessment methods, analyzing their characteristics, advantages and drawbacks. We also introduce QoE-based video applications, and finally identify the future research directions of QoE.Index Terms-Quality of Experience, Subjective Test, Objective Quality Model, Data-driven Analysis 1553-877X (c)

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Section: B Qoe-aware Congestion Controlmentioning

confidence: 99%

From QoS to QoE: A Tutorial on Video Quality Assessment

Chen

Zhang

2015

IEEE Commun. Surv. Tutorials

289

124

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“…The authors formulate the congestion control problem as a Partially Observable Markov Decision Process (POMDP) to maximize the long-term expected multimedia quality. In [26], a Mean Opinion Score (MOS) based congestion control scheme is proposed for conversational services in wireless environments. Brosh et al [10] present a discrete-time Markov model of the delay distribution for realtime TCP flows, and reveal the delay-friendliness of TCP towards packet size through extensive measurements.…”

Section: B Tcp-based Multimedia Communicationmentioning

confidence: 99%

TCP-Oriented Raptor Coding for High-Frame-Rate Video Transmission Over Wireless Networks

Yuen

Wang

et al. 2016

IEEE J. Select. Areas Commun.

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High-Frame-Rate (HFR) video technology is becoming widely implemented in popular multimedia applications (e.g., Youtube and cloud gaming) to provide smooth viewing experience. Meanwhile, Transmission Control Protocol (TCP) is pervasively adopted as the transport-layer solution for video communications to achieve firewall traversal and network-friendliness. However, it is severely challenging to effectively deliver real-time HFR video over TCP: 1) HFR video streaming is featured by high transmission rate, enhanced frame density and stringent delay constraint; 2) the packet retransmission and congestion control mechanisms in TCP may cause frequent throughput fluctuations and deadline violations. Motivated by addressing these critical issues, this research presents an application-layer FEC (Forward Error Correction) framework dubbed ROCHET (RaptOr Coded HFR VidEo over TCP). First, we develop a mathematical model to analyze the frame-level distortion of systematic Raptor codebased HFR video communication over TCP in wireless networks. Second, we propose a joint approximate distortion estimation and Raptor coding adaption solution to minimize the sum of total distortion. The proposed ROCHET is able to effectively leverage unequal error protection and TCP state analysis to enhance streaming video quality. We conduct the performance evaluation through extensive emulations in Exata involving real-time HFR video encoded with H.264 codec. Compared with the existing FEC coding schemes, ROCHET achieves appreciable improvements in terms of video Peak Signal-to-Noise Ratio (PSNR), goodput, and frame success rate. Thus, ROCHET is recommended for TCPbased HFR video transmission over wireless networks.

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“…Many such metrics have been proposed, including alpha-fair throughput [26], flow completion time [8], throughput-over-delay [22], or measures based on a subjective opinion score [13].…”

Section: Objective Functionmentioning

confidence: 99%

An experimental study of the learnability of congestion control

SivaramanAnirudh

WinsteinKeith

ThakerPratiksha

et al. 2014

SIGCOMM Comput. Commun. Rev.

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When designing a distributed network protocol, typically it is infeasible to fully define the target network where the protocol is intended to be used. It is therefore natural to ask: How faithfully do protocol designers really need to understand the networks they design for? What are the important signals that endpoints should listen to? How can researchers gain confidence that systems that work well on well-characterized test networks during development will also perform adequately on real networks that are inevitably more complex, or future networks yet to be developed? Is there a tradeoff between the performance of a protocol and the breadth of its intended operating range of networks? What is the cost of playing fairly with cross-traffic that is governed by another protocol?We examine these questions quantitatively in the context of congestion control, by using an automated protocol-design tool to approximate the best possible congestion-control scheme given imperfect prior knowledge about the network. We found only weak evidence of a tradeoff between operating range in link speeds and performance, even when the operating range was extended to cover a thousand-fold range of link speeds. We found that it may be acceptable to simplify some characteristics of the network-such as its topology-when modeling for design purposes. Some other features, such as the degree of multiplexing and the aggressiveness of contending endpoints, are important to capture in a model.

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MOS-Based Congestion Control for Conversational Services in Wireless Environments

Cited by 18 publications

References 16 publications

From QoS to QoE: A Tutorial on Video Quality Assessment

From QoS to QoE: A Tutorial on Video Quality Assessment

TCP-Oriented Raptor Coding for High-Frame-Rate Video Transmission Over Wireless Networks

An experimental study of the learnability of congestion control

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