A New Approach for VoIP Traffic Characterization

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

doi:10.1109/lcomm.2004.835318

Cited by 30 publications

(13 citation statements)

References 5 publications

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“…First, we describe the traffic pattern followed by one GVoIP source. In particular, we deduce the mean bit bit-rate of this kind of sources [10]. Second, we address the more complex subject of multiplexing GVoIP sources by introducing changes in the fluid and MMPP models previously presented.…”

Section: New Voip Scenariomentioning

confidence: 99%

“…However and expression for average delay can be readily deduced from existing approximations for both the fluid model [28] and MMPP queues [5,30]. 10 Although sometimes the complete range of m is not presented since the real measurements drops drastically. we have chosen α values which guarantee that the resulting losses will be approximately in the desired range (i.e.…”

Section: Region Of Interestmentioning

confidence: 99%

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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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Section: New Voip Scenariomentioning

confidence: 99%

Section: Region Of Interestmentioning

confidence: 99%

Accurate resource estimation for generalized VoIP sources

Estepa

Pacheco

2008

Telecommun Syst

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“…Since the ON-OFF model is not valid to capture the traffic generated during the silence periods, we present a simplified analysis of our previous model [14] which overcomes this problem.…”

Section: One Voice Source: On-sid Modelmentioning

confidence: 99%

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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“…In this Letter, we investigate the characteristics of VoIP traffic from a crosslayer point of view for the purpose of decreasing the packet loss rate. Since silent periods occupy a high percentage (about 60%) of the VoIP call duration [2] and there is no VoIP packet transmission during mutual silence periods, we theorise that VoIP packet loss could be reduced if we align the starting time of network detachment with that of the mutual silence period. To verify this hypothesis, we analyse the on -off characteristics of the VoIP traffic based on a twoway conversational model and evaluate the proposed handover scheme with respect to the total handover time and packet loss probability.…”

mentioning

confidence: 95%

“…On the other hand, the proposed scheme waits for the start of a mutual silence period during the predetermined margin time, which corresponds to the maximum time duration that an MN can delay its handover procedure. The starting time of a mutual silence period is recognised by the arrival of a silence insertion descriptor (SID) frame that is sent by the sender's VoIP codec at the beginning of the silent period [2]. This SID frame is smaller in size than a VoIP data packet and includes only information about background noise that is used to generate artificial noise at the receiving side's decoder during the silent period.…”

mentioning

confidence: 99%