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C. H. M. De Lima, M. Bennis and M. Latva-aho, “Statistical Analysis of Self-Organizing Networks with Biased Cell Association and Interference Avoidance,” IEEE Transactions on Vehicular Technology, Vol. 62, No. 5, 2013, pp. 1950-1961.

has been cited by the following article:

• TITLE: Dropping Rate Simulation for a Handover Scheme Using Importance Sampling

  AUTHORS: Dong Liang, Gan Ding, Wuling Qin, Mugen Peng

  KEYWORDS: Handover; Importance Sampling; Monte Carlo; Dropping Rate

  JOURNAL NAME: Communications and Network, Vol.5 No.3C, October 4, 2013

  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.