Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-23T05:28:04.635Z Has data issue: false hasContentIssue false

Correlation structure of teletraffic measurements from randomly-scanned calls arrival data

Published online by Cambridge University Press:  14 July 2016

P. A. Lee*
Affiliation:
University of Malaya
*
Postal address: Department of Mathematics, University of Malaya, Kuala Lumpur 22–11, Malaysia.

Abstract

In teletraffic measurements, a call arrival process is commonly studied using a method with time-uniform or periodic scanning. The information recorded is the number of calls arrived between the scannings, from which data the number of scans between two successive calls is obtained. These later numbers are used as a measure of the interarrival times.

For an exponential call arrival process, except in the case of Poisson scanning, all other scanning schemes yield the number of scans which are not independent in any two interarrival intervals. By treating the problem as an interaction of two stationary stochastic point processes, we determine the exact joint probability distribution of the number of scans in two adjacent and non-adjacent interarrival intervals. An explicit expression for the correlation coefficient is also obtained.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1980 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Cox, D. R. (1962) Renewal Theory. Methuen, London,Google Scholar
Feller, W. (1971) An Introduction to Probability Theory and Its Applications, Vol. 2, 2nd edn. Wiley, New York Google Scholar
Hawkins, D. M. (1974) A note on the distribution of the times reported by a low resolution interval timer. Amer. Statistician 28, 5657.Google Scholar
Iversen, V. B. (1973) Analysis of real teletraffic processes based on computerized measurements. Ericsson Technics 29, 364.Google Scholar
Mcfadden, J. A. (1962) On the lengths of intervals in a stationary point process. J. R. Statist. Soc. B24, 364384.Google Scholar
Morse, P. M. (1958) Queues, Inventories and Maintenance. Wiley, New York.Google Scholar
Ten Hoopen, M. and Reuver, H. A. (1967) Interaction between two independent recurrent time series. Information and Control 10, 149158.Google Scholar
Westerberg, S. (1975) The distribution of the number of scans between successive calls when scanning a Poisson call arrival process. Ericsson Technics 31, 3753.Google Scholar