Dropping Rate Simulation for a Handover Scheme Using Importance Sampling | Zendy

Dong Liang | Zendy; Gan Ding | Zendy; Wuling Qin | Zendy; Mugen Peng | Zendy

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Dropping Rate Simulation for a Handover Scheme Using Importance Sampling

Author(s) -

Dong Liang,

Gan Ding,

Wuling Qin,

Mugen Peng

Publication year - 2013

Publication title -

communications and network

Language(s) - English

Resource type - Journals

eISSN - 1949-2421

pISSN - 1947-3826

DOI - 10.4236/cn.2013.53b2078

Subject(s) - handover , computer science , sampling (signal processing) , event (particle physics) , process (computing) , real time computing , sample (material) , discrete event simulation , channel (broadcasting) , base station , sample size determination , scheme (mathematics) , simulation , computer network , telecommunications , statistics , chemistry , physics , mathematics , chromatography , quantum mechanics , detector , operating system , mathematical analysis

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.

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