D. Liang
Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, 100876, China
W. Q. Xue
Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, 100876, China
M. G. Peng
Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, 100876, China
ABSTRACT
The process of changing the channel associated with the current connection while a call is in progress is under consideration. The estimation of call dropping probability in handover process of a one dimensional traffic system in 3GPP LTE is discussed. The analytical probability of call dropping is deduced and then estimated by Monte Carlo simulation. As the call dropping probability is always very small, it can be considered as rare event. To reduce the sample size of simulation, importance sampling is used by increasing the probability of average coming rate for handover traffic and decreasing the probability of available channels. The simulation results suggest the sample size can be tremendously reduced by using importance sampling.
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How to cite this article
D. Liang, W. Q. Xue and M. G. Peng, 2013. Importance Sampling Estimation on Call Dropping Probability for a Handover Scheme Under Poisson Assumption. Information Technology Journal, 12: 3639-3644.
DOI: 10.3923/itj.2013.3639.3644
URL: https://scialert.net/abstract/?doi=itj.2013.3639.3644
DOI: 10.3923/itj.2013.3639.3644
URL: https://scialert.net/abstract/?doi=itj.2013.3639.3644
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