End-to-end performance models for variable bit rate voice over tandem links in packet networks

Analytical models are presented for computing the end-to-end voice call performance in a packet network that drops the less significant bits in voice packets during periods of congestion. These models provide information about the end-to-end quality likely to be experienced in future packet-switched integrated services networks. An existing single-node bit-dropping model is modified to include the situation resulting when the overall arrival process at an internal node consists of a mix of packets of different sizes due to bit dropping at previous nodes. A detailed model to capture bit-dropping effects in a tandem connection of nodes is presented. The model includes the effect of load fluctuations at each node, and also takes into account the dependencies in bit dropping experienced by a voice packet at successive nodes in a tandem connection. The model also incorporates the internodal dependence when reductions in packet service times occur at intermediate nodes due to bit dropping at previous nodes. Two approximation procedures are discussed that serve as upper and lower bounds. In particular, the upper bound is shown to be very tight for a practical range of loads, and hence serves as a good approximation with significant computational simplicity. >

[1]  M. Listanti,et al.  Voice communication handling in X 25 packet switching networks , 1983 .

[2]  H. Nakada,et al.  Variable rate speech coding and network delay analysis for universal transport network , 1988, IEEE INFOCOM '88,Seventh Annual Joint Conference of the IEEE Computer and Communcations Societies. Networks: Evolution or Revolution?.

[3]  Duane O. Bowker,et al.  Performance evaluation of variable-bit-rate voice in packet-switched networks , 1988, AT&T Technical Journal.

[4]  San-qi Li,et al.  Congestion control for packet voice by selective packet discarding , 1990, IEEE Trans. Commun..

[5]  D. Sparrell Wideband packet technology , 1988, IEEE Global Telecommunications Conference and Exhibition. Communications for the Information Age.

[6]  David M. Lucantoni,et al.  Traffic smoothing effects of bit dropping in a packet voice multiplexer , 1988, IEEE INFOCOM '88,Seventh Annual Joint Conference of the IEEE Computer and Communcations Societies. Networks: Evolution or Revolution?.

[7]  T. Bially,et al.  Voice Communication in Integrated Digital Voice and Data Networks , 1980, IEEE Trans. Commun..

[8]  Ward Whitt,et al.  Characterizing Superposition Arrival Processes in Packet Multiplexers for Voice and Data , 1986, IEEE J. Sel. Areas Commun..

[9]  T. Bially,et al.  A Technique for Adaptive Voice Flow Control in Integrated Packet Networks , 1980, IEEE Trans. Commun..

[10]  Y. Yatsuzuka,et al.  High-Gain Digital Speech Interpolation with Adaptive Differential PCM Encoding , 1982, IEEE Trans. Commun..

[11]  R. Cox,et al.  Multiple User Variable Rate Coding for TASI and Packet Transmission Systems , 1980, IEEE Trans. Commun..

[12]  David M. Lucantoni,et al.  A Markov Modulated Characterization of Packetized Voice and Data Traffic and Related Statistical Multiplexer Performance , 1986, IEEE J. Sel. Areas Commun..

[13]  David J. Goodman Embedded DPCM for Variable Bit Rate Transmission , 1980, IEEE Trans. Commun..