By Topic

Loss ratio simulation method of MMPP/D/1/K using statistical techniques

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Toyoshima, K. ; NTT Network Innovation Labs., Yokosuka, Japan

For network planning and the operation of video streaming multicast services, it is very important to grasp the characteristics of packet loss against traffic type and buffer size because multicast uses UDP, not TCP, so packet recovery is not assured in this layer. This is possible by using Monte Carlo simulations (MCS), one of the most effective techniques. Although approximate methods have also been proposed as alternatives, in most cases, MCS results are provided to validate the proposal. However, there is no obvious way of determining when MCS should be terminated. This paper proposes a new obvious termination method for embedding in the MMPP/D/1/K MCS program that focuses on loss interval; it employs statistical techniques that allow loss ratios to be accurately estimated in the shortest possible time. The simulation is terminated when the χ2-statistic becomes less than or equal to a critical value, and the loss ratio is calculated from the number of all losses up to that time. A method of determining the parameters needed to calculate the χ2-statistic is also proposed to reduce the calculation time in MCS. To evaluate the proposed method, confidence intervals are obtained by applying the proposed method to six cases. Long-term loss ratios for the six cases are within 95 percent confidence intervals. 95 percent confidence intervals for the six cases are near approximate loss ratios. Embedding the proposed method in the MCS program imposes a time penalty of only 3.6 percent at most. The proposed method is thus very useful and usable.

Published in:

Software, Telecommunications and Computer Networks (SoftCOM), 2012 20th International Conference on

Date of Conference:

11-13 Sept. 2012