Dropping Rate Simulation for a Handover Scheme Using Importance Sampling

Dong Liang, Gan Ding, Wuling Qin, Mugen Peng

Wireless Signal Processing and Network Lab, Key Laboratory of Universal Wireless Communications (Ministry of Education), Beijing University of Posts and Telecommunications, Beijing, China.

DOI: 10.4236/cn.2013.53B2078                

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.

Keywords

Handover; Importance Sampling; Monte Carlo; Dropping Rate

Conflicts of Interest

The authors declare no conflicts of interest.

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