Proceedings of the 2006 International Conference on Wireless Communications and Mobile Computing 2006
DOI: 10.1145/1143549.1143593
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Application-driven cross-layer optimization for mobile multimedia communication using a common application layer quality metric

Abstract: This paper proposes a cross-layer optimization framework that provides efficient allocation of wireless network resources across multiple types of applications to maximize network capacity and user satisfaction. We define a novel optimization scheme based on the Mean Opinion Score (MOS) as the unifying metric. Our experiments, applied to scenarios where users simultaneously run three types of applications, such as realtime voice, video conferencing and file download, confirm that MOS-based optimization leads t… Show more

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Cited by 24 publications
(14 citation statements)
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“…In this way, the high-priority parts of the transmitted image has more perceptual quality than other parts. Furthermore, the obtained perceptual quality of the whole transmitted image with these threshold values is concluded as "fair" in terms of mean opinion score (MOS) deduced from Figure 2 and the relationship between PSNR and MOS [47].…”
Section: Determination Of the Reliability Requirements For The Image mentioning
confidence: 91%
“…In this way, the high-priority parts of the transmitted image has more perceptual quality than other parts. Furthermore, the obtained perceptual quality of the whole transmitted image with these threshold values is concluded as "fair" in terms of mean opinion score (MOS) deduced from Figure 2 and the relationship between PSNR and MOS [47].…”
Section: Determination Of the Reliability Requirements For The Image mentioning
confidence: 91%
“…As for the QoE experienced by the users, the Mean Opnion Score (MOS) was used in relation with the objective metric mainly the PSNR. According to [30,31], the relationship between PSNR and MOS may be approximated by the bounded logarithmic function: …”
Section: Performance Evaluationmentioning
confidence: 99%
“…QoS is also considered in the scheduler described in [5] where 802.11e transmission parameters are modified; [6] proposes a scheduler which takes a scheduling decision on a packet-level basis and considers the multiple PHY rates which a WLAN offers. In [7], demands by the application are considered by abstracting them to a single numerical value. An analysis of a channel state aware scheduler is given in [8] where the channel is modeled as a Markovian process.…”
Section: Related Workmentioning
confidence: 99%