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Tytuł artykułu

Burst Ratio in Concatenated Markov-based Channels

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper deals with the burst ratio parameter, which describes the burstiness of a packet loss observed in digital networks. It is one of the input parameters of E-model – the most widely used method of assessing conversational quality of telephony. The burst ratio is defined for one channel scenario so it can be calculated when the whole transmission path has been characterized by a single set of parameters. The main objective of the paper is to extend the burst ratio definition when the transmission path is defined as a tandem concatenation of transmission channels being described by their individual burst ratios. It is assumed that packet loss of a single channel is described by a 2-state Markov chain. The final result of the research is an equation describing the burst ratio parameter when the transmission path consists of multiple concatenated channels. The derived formula has been validated by extensive simulations.
Rocznik
Tom
Strony
3--9
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
  • Department of Telecommunications, AGH University of Science and Technology, Krakow, Poland
autor
  • Department of Telecommunications, AGH University of Science and Technology, Krakow, Poland
Bibliografia
  • [1] S. M¨oller, Assessment and Prediction of Speech Quality in Telecommunications. Dordrecht, Netherlands: Kluwer, 2000.
  • [2] A. Raake, Speech Quality of VoIP: Assessment and Prediction. Chicherster, UK: Wiley, 2007.
  • [3] J.-C. Bolot, “Characterizing end-to-end packet delay and loss in the internet”, J. High Speed Netw., vol. 2, no. 3, pp. 305–323, 1993.
  • [4] E. Elliott, “Estimates of error rates for codes on burst-noise channels”, Bell Syst. Tech. J., vol. 42, no. 9, pp. 1977–1997, 1963.
  • [5] A. D. Clark, “Modeling the effects of burst packet loss and recency on subjective voice quality”, in Proc. IP Telephony Worksh., New York, 2001.
  • [6] H. A. Sanneck and G. Carle, “Framework model for packet loss metrics based on loss runlengths”, SPIE Proc., vol. 3969, pp. 177–187, 1999.
  • [7] M. Yajnik, S. Moon, J. Kurose, and D. Towsley, “Measurement and modelling of the temporal dependence in packet loss”, in Proc. 18th Ann. Joint Conf. IEEE Comp. Commun. Soc. INFOCOM’99, New York, NY, USA, 1999, vol. 1, pp. 345–352.
  • [8] C. Perkins, O. Hodson, and V. Hardman, “A survey of packet loss recovery techniques for streaming audio”, Network, IEEE, vol. 12, no. 5, pp. 40–48, 1998.
  • [9] W. Jiang and H. Schulzrinne, “Modeling of packet loss and delay and their effect on real-time multimedia service quality”, in Proc. 10th Int. Worksh. Netw. Operat. Sys. Supp. Digit. Audio and Video NOSSDAV’2000, Chapel Hill, North Carolina, USA, 2000.
  • [10] L. Sun and E. C. Ifeachor, “Subjective and objective speech quality evaluation under bursty losses”, in Proc. Int. Conf. Measurement of Speech and Audio Quality in Networks MESAQIN, Prague, Czech Republik, 2002.
  • [11] “The e-model, a computational model for use in transmission planning”, ITU-T Rec. G. 107, 2011.
  • [12] M. Voznak, “E-model modification for case of cascade codecs arrangement”, Int. J. Mathem. Models Metho. Appl. Sci., vol. 8, pp. 1439–1447, 2011.
  • [13] S. Jelassi and G. Rubino, “A comparison study of automatic speech quality assessors sensitive to packet loss burstiness”, in Proc. Consumer Commun. Netw. Conf. IEEE CCNC 2011, Las Vegas, NV, USA, 2011, pp. 415–420.
  • [14] W.-E. Chen, P.-J. Lin, and Y.-B. Lin, “Real-time voip quality measurement for mobile devices”, IEEE Syst. J., vol. 5, no. 4, pp. 538–544, 2011.
  • [15] I. Lopetegui, R. A. Carrasco, and S. Boussakta, “Speech quality prediction in voip concatenating multiple markov-based channels”, in Proc. 6th Adv. Int. Conf. Telecommun. AICT 2010, Barcelona, Spain, 2010, pp. 226–230.
  • [16] J. W. McGowan, “Burst ratio: a measure of bursty loss on packetbased networks”, US Patent 6,931,017, 2005.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d856592c-f1cf-4090-9e3e-1505e659a47b
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