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Analysis of on-off patterns in VoIP and their effect on voice traffic aggregation
Wenyu Jiang, Henning SchulzrinneDepartment of Computer Science Columbia University
Computer Communications and Networks, 2000. Proceedings. Ninth International Conference on
Estimation of Token Bucket Parameters of VoIP Traffic
R. Bruno, R.G.Garroppo and S.GiordanoDepartment of Information Engineering University of Pisa
High Performance Switching and routing, 2000. ATM 2000 Proceedings of the IEEE Conference on , 2000
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Outline
• Introduction
• Experiment Setup
• Comparisons with Traditional Silence Detectors
• Token bucket simulations and results
• Conclusions
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Introduction
• Human speech consists of talk-spurts and silence gaps, also known as on-off patterns.
• Allows higher bandwidth utilization through multiplexing.
• Allows per-spurt play out delay adjustment.
• Enable echo suppression based on silence detector output.
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Introduction (cont’d)
energy
Pre-spurt hangover time
Post-spurt hangover time
time
Max (-20db)
Min (-45db)
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Experiment Setup
3COM Ethernet Phone
3COM Ethernet Phone
Mediatrix gateway
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Comparisons with Traditional Silence Detectors
• Example spurt/gap distributions
• NeVoT SD spurt and gap CDF using different parameters
• Spurt/gap distribution after averaging over many conversations
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Example spurt/gap distributions
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Example spurt/gap distributions
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Example spurt/gap distributions
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NeVot SD spurt and gap CDF using different thresholds
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NeVot SD spurt and gap CDF using different thresholds
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NeVot SD spurt and gap CDF using different thresholds
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Spurt/gap distribution after averaging over many conversations
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Spurt/gap distribution after averaging over many conversations
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Spurt/gap distribution after averaging over many conversations
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Token bucket simulations and results
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Effect of spurt/gap distribution on multiplexing performance, G.729B
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Effect of spurt/gap distribution on multiplexing performance, G.729B
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Effect of spurt/gap distribution on multiplexing performance, G.729B
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Multiplexing performance for NeVoT SD with default parameters
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Multiplexing performance for NeVoT SD with default parameters
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Multiplexing performance for NeVoT SD with default parameters
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Equivalent Queuing Model
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Birth-and-death Markov Chain
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Simulation analysis
classifier token-bucket conditioner
Multiplexer
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Conclusions
• Spurt/gap distributions are not exactly exponential, particularly for gaps.
• The token bucket simulations result indicate that the exponential model generally gives a close estimate of the out-of-profile probability.