Packetization and Silence Influence on VoIP Traffic Profiles

Estepa, Antonio; Estepa, Rafael; Vozmediano, Juan M.

doi:10.1007/978-3-540-40012-7_27

Cited by 9 publications

(12 citation statements)

References 3 publications

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“…In [1] it is shown that the SID frames influence in the codec mean bit rate (due only to the codec frames) is always minor than 1.5%, but also shows that after the packetization process, the packets generated during OFF periods due to SID frames, increase significantly the mean bit rate in the IP network.…”

Section: One Voice Source Modelingmentioning

confidence: 95%

“…The latter corresponds to a zero-length frame used to model the instants where no frames are generated. The sizes of the previous frame types are listed in [1] for the G.729,G723.1. and GSM AMR codecs.…”

Section: The On-sid Modelmentioning

confidence: 99%

“…The test-bed and source speech material used is described in [1]. Both ends of a set of 10 conversations 15 minutes long were recorded from an ISDN line in a low-noise office environment (SNR > 20dB).…”

Section: Experiments Set-upmentioning

confidence: 99%

“…The SID frames are generated during voice inactivity periods, and their coding scheme differs from that of the active voice frames (ACT frames). SID frames are generated by the codec's DTX algorithm according to changes in the background noise energy and to some specific rules depending on the codec's implementation [1,2]. Human speech has been traditionally modeled as a sequence of alternate talk and silence periods whose duration is exponentially distributed in the so-called…”

Section: Introduction and Previous Workmentioning

confidence: 99%

“…The traditional ON-OFF model does not consider the effect of the SID frames in the traffic pattern generated by voice sources. This have been commonly accepted since the effect of short-size SID frames in the codec bit rate is reduced (typically less than 2 %) [1]. The encoded speech is then packetized into packets before transmission.…”

Section: Introduction and Previous Workmentioning

confidence: 99%

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Background Noise Influence on VoIP Traffic Profile

Estepa

Vozmediano

Estepa

2004

Interactive Multimedia and Next Generation Networks

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Abstract. Modern audio codecs used in VoIP can improve the listening quality by transmitting the main characteristics of the background noise signal during the silence periods. This traffic has been traditionally neglected in the codec mean bit-rate estimation. Nevertheless, when considering an IP environment, the packet overhead increases significantly the required mean transmission bit-rate. Hence, the transmission of the background noise signal can result into either a poor network resource dimensioning in network planning or in the violation of the SLA traffic specifications in a DiffServ scenario. This paper presents a study on the influence of the background noise signal in the mean transmission bit rate required by conversations in IP networks. A new traffic pattern generation model is presented, for which an analytical expression for the mean bit rate is derived. This model is parametrized for the G.729B and the GSM AMR codecs. Experimental results show that this new model significantly enhances the current mean bit rate estimation. The traffic profile of aggregated audio traffic is also addressed, obtaining results which improve the current ON-OFF aggregated traffic models.

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Section: One Voice Source Modelingmentioning

confidence: 95%

Section: The On-sid Modelmentioning

confidence: 99%

Section: Experiments Set-upmentioning

confidence: 99%

Section: Introduction and Previous Workmentioning

confidence: 99%

Section: Introduction and Previous Workmentioning

confidence: 99%

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Background Noise Influence on VoIP Traffic Profile

Estepa

Vozmediano

Estepa

2004

Interactive Multimedia and Next Generation Networks

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Traffic Trunk Parameters for Voice Transport over MPLS

Estepa

Vozmediano

E-Business and Telecommunication Networks

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Accurate resource estimation for generalized VoIP sources

Estepa

Pacheco

2008

Telecommun Syst

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Current voice codecs like G.729, G.723.1 or AMR can generate short background descriptors (SID) frames during voice inactivity periods for Comfort Noise Generation (CNG). This feature alters the classical on-off traffic pattern typically used to model the traffic generated by codecs with a Silence Suppression scheme. Therefore the CNG feature leads to severe inaccuracies in the dimensioning analysis done through traditional models based on multiplexing on-off sources like MMPP or fluid model.In this paper, we focus on the VoIP dimensioning issue. First, we define the traffic pattern generated by those codecs that include CNG (generalized VoIP sources). Second, we extend the traditional MMPP and fluid analytical models to multiplex our generalized VoIP sources and propose a simple but efficient dimensioning algorithm. Results are validated by simulations fed by VoIP traces and demonstrate a significant improvement in accuracy with respect to current on-off based approaches.

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Packetization and Silence Influence on VoIP Traffic Profiles

Cited by 9 publications

References 3 publications

Background Noise Influence on VoIP Traffic Profile

Background Noise Influence on VoIP Traffic Profile

Traffic Trunk Parameters for Voice Transport over MPLS

Accurate resource estimation for generalized VoIP sources

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