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User-satisfaction based bandwidth allocation for transmission of multiple sources of human perceptual data

Identifieur interne : 002696 ( Main/Exploration ); précédent : 002695; suivant : 002697

User-satisfaction based bandwidth allocation for transmission of multiple sources of human perceptual data

Auteurs : Cheng-Chun Chang [Taïwan] ; Tien-Ying Kuo [Taïwan] ; Yi-Chung Lo [Taïwan] ; Heung-No Lee [Corée du Sud] ; David Askey [États-Unis] ; Zhi-Hong Mao [États-Unis]

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RBID : Pascal:12-0152051

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English descriptors

Abstract

In recent years, more and more point-to-point communication systems involve simultaneous transmission of multiple sources of human perceptual data over a single communication medium. For example, in a teleoperation system or a telerobotic system, streams of video, audio, and haptic data need to be sent from a field place to a remote human operator. Each type of data demands a certain range of transmission rate. This creates conflicts among these data when the available bandwidth is limited. In this paper we study the bandwidth allocation for multiple sources of human perceptual data transmitted over a rate-limited communication channel. We aim to maximize the overall user satisfaction in the data transmission, and formulate an optimization problem for the bandwidth allocation. Using either the logarithmic or exponential form of human perceptual satisfaction function, we are able to derive closed-form solutions for the optimization problem. We show that the optimal bandwidth allocation for each type of data is piecewise linear with respect to the total available bandwidth.


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Le document en format XML

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<div type="abstract" xml:lang="en">In recent years, more and more point-to-point communication systems involve simultaneous transmission of multiple sources of human perceptual data over a single communication medium. For example, in a teleoperation system or a telerobotic system, streams of video, audio, and haptic data need to be sent from a field place to a remote human operator. Each type of data demands a certain range of transmission rate. This creates conflicts among these data when the available bandwidth is limited. In this paper we study the bandwidth allocation for multiple sources of human perceptual data transmitted over a rate-limited communication channel. We aim to maximize the overall user satisfaction in the data transmission, and formulate an optimization problem for the bandwidth allocation. Using either the logarithmic or exponential form of human perceptual satisfaction function, we are able to derive closed-form solutions for the optimization problem. We show that the optimal bandwidth allocation for each type of data is piecewise linear with respect to the total available bandwidth.</div>
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