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Dropping Rate Simulation for a Handover Scheme Using Importance Sampling
Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communications (Ministry of Education), Beijing University of Posts and Telecommunications, Beijing, China
Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communications (Ministry of Education), Beijing University of Posts and Telecommunications, Beijing, China
Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communications (Ministry of Education), Beijing University of Posts and Telecommunications, Beijing, China
Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communications (Ministry of Education), Beijing University of Posts and Telecommunications, Beijing, China
- 1 Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communications (Ministry of Education), Beijing University of Posts and Telecommunications, Beijing, China
- 2 Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communications (Ministry of Education), Beijing University of Posts and Telecommunications, Beijing, China
- 3 Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communications (Ministry of Education), Beijing University of Posts and Telecommunications, Beijing, China
- 4 Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communications (Ministry of Education), Beijing University of Posts and Telecommunications, Beijing, China
Communications and Network·Volume 05 (2013)·Pages 426–429·Published 27 September 2013·DOI10.4236/cn.2013.53B2078
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Abstract
The process of changing the channel associated with the current connection while a call is in progress is under consideration. The estimation of dropping rate in handover process of a one dimensional traffic system is discussed. To reduce the sample size of simulation, dropping calls at base station is considered as rare event and simulated with importance sampling - one of rare event simulation approaches. The simulation results suggest the sample size can be tremendously reduced by using importance sampling.
KeywordsHandoverImportance SamplingMonte CarloDropping Rate
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