EPCRTT-based smoothing and multiplexing of VBR video traffic |
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Authors: | Ofer Hadar Shlomo Greenberg Michael Segal |
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Affiliation: | (1) Communication Systems Engineering Department, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel;(2) Freescale Semiconductor Israel, Herzeliya, Israel |
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Abstract: | Applying video smoothing techniques to real-time video transmission can significantly reduce the peak rate and rate variability
of compressed video streams. Moreover, statistical multiplexing of the smoothed traffic can substantially improve network
utilization. In this paper we propose a new smoothing scheme, which exploits statistical multiplexing gain that can be obtained
after smoothing of individual video streams. We present a new bandwidth allocation algorithm that allows for responsive interactivity.
The local re-smoothing algorithm is carried out using an iterative process. In the proposed scheme the smoothed video streams
are divided into fixed intervals and then a new transmission schedule for each interval is calculated. The problem of applying
an optimal transmission schedule for aggregated smoothing video streams is shown to be NP-hard problem. Partitioning the whole
stream into sections enables parallel processing of the smoothing algorithm in real-time before transmission. This approach
allows partial transmission of the multiplexed stream while smoothing other intervals. The simulation results show a significant
reduction in peak rate and rate variability of the aggregated stream, compared to the non-smoothing case. Therefore the proposed
scheme allows us to increase the number of simultanusally-served video streams.
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Keywords: | Video rate smoothing Admission control Statistical multiplexing gain Network utilization QoS |
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