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Analysis of jitter due to call‐level fluctuations
Author(s) -
Mandjes Michel
Publication year - 2006
Publication title -
european transactions on telecommunications
Language(s) - English
Resource type - Journals
eISSN - 1541-8251
pISSN - 1124-318X
DOI - 10.1002/ett.1109
Subject(s) - jitter , network packet , computer science , constant (computer programming) , constant bitrate , set (abstract data type) , real time computing , algorithm , computer network , telecommunications , bit rate , variable bitrate , programming language
In communication networks used by constant bit rate applications, call‐level dynamics (i.e. entering and leaving calls) lead to fluctuations in the load, and therefore also fluctuations in the delay (‘jitter’). By intentionally delaying the packets at the destination, one can transform the ‘perturbed’ packet stream back into the original periodic stream; in other words: there is a trade off between jitter and delay, in that jitter can be removed at the expense of delay. As a consequence, for streaming applications for which the packet delay should remain below some predefined threshold, it is desirable that the jitter remains small. This paper presents a set of procedures to compute the jitter due to call‐level variations. We consider a network resource shared by a fluctuating set of constant bit rate applications (modelled as periodic sources). As a first step, we study the call‐level dynamics: supposing that a tagged call sees n 0 calls when entering the system, then we compute the probability that at the end of its duration (consisting of, say, i packets) n i calls are present, of which n 0,i stem from the original n 0 calls. As a second step, we show how to compute the jitter, for given n 0 , n i , and n 0,i ; in this analysis generalised Ballot‐problems have to be solved. We find an iterative exact solution to these, and explicit approximations and bounds. Then, as a final step, the (packet‐level) results of the second step are weighed with the (call‐level) probabilities of the first step, thus resulting in the probability distribution of the jitter experienced within the call duration. An explicit Gaussian approximation is proposed. Extensive numerical experiments validate the accuracy of the approximations and bounds. Copyright © 2006 AEIT

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