Statistical optimization of dynamic importance sampling parameters for efficient simulation of communication networks
暂无分享,去创建一个
[1] H. Kahn,et al. Methods of Reducing Sample Size in Monte Carlo Computations , 1953, Oper. Res..
[2] A. A. Crane,et al. An introduction to the regenerative method for simulation analysis , 1977 .
[3] P. Balaban,et al. A Modified Monte-Carlo Simulation Technique for the Evaluation of Error Rate in Digital Communication Systems , 1980, IEEE Trans. Commun..
[4] R. Wolff,et al. The Almost Regenerative Method for Stochastic System Simulations , 1980, Oper. Res..
[5] Reuven Y. Rubinstein,et al. Simulation and the Monte Carlo method , 1981, Wiley series in probability and mathematical statistics.
[6] Scott Kirkpatrick,et al. Optimization by Simmulated Annealing , 1983, Sci..
[7] Jeffrey J. Hunter,et al. Mathematical techniques of applied probability , 1985 .
[8] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[9] Jeffrey J. Hunter. Discrete Time Models : Techniques and Applications , 1983 .
[10] Michel C. Jeruchim,et al. Techniques for Estimating the Bit Error Rate in the Simulation of Digital Communication Systems , 1984, IEEE J. Sel. Areas Commun..
[11] M. Metivier,et al. Applications of a Kushner and Clark lemma to general classes of stochastic algorithms , 1984, IEEE Trans. Inf. Theory.
[12] S. Asmussen. Conjugate processes and the silumation of ruin problems , 1985 .
[13] Peter W. Glynn,et al. Proceedings of Ihe 1986 Winter Simulation , 2022 .
[14] Philip Heidelberger,et al. Measure specific dynamic importance sampling for availability simulations , 1987, WSC '87.
[15] Wesley E. Snyder,et al. Optimization by Mean Field Annealing , 1988, NIPS.
[16] Kung Yao,et al. Improved importance sampling technique for efficient simulation of digital communication systems , 1988, IEEE J. Sel. Areas Commun..
[17] J. Bucklew,et al. On large deviations theory and asymptotically efficient Monte Carlo estimation , 1989, Proceedings of the 32nd Midwest Symposium on Circuits and Systems,.
[18] S. Asmussen. Risk theory in a Markovian environment , 1989 .
[19] Donald L. Iglehart,et al. Importance sampling for stochastic simulations , 1989 .
[20] Jean Walrand,et al. A quick simulation method for excessive backlogs in networks of queues , 1989 .
[21] Michel C. Jeruchim,et al. On optimum and suboptimum biasing procedures for importance sampling in communication simulation , 1990, IEEE Trans. Commun..
[22] J. Keith Townsend,et al. Optimization of Transmitter and Receiver Filters for Digital Communication Systems Using Mean Field Annealing , 1990, IEEE J. Sel. Areas Commun..
[23] H.-J. Schlebusch. Nonlinear importance sampling techniques for efficient simulation of communication systems , 1990, IEEE International Conference on Communications, Including Supercomm Technical Sessions.
[24] Michael Devetsikiotis,et al. A useful and general technique for improving the efficiency of Monte Carlo simulation of digital communication systems , 1990, [Proceedings] GLOBECOM '90: IEEE Global Telecommunications Conference and Exhibition.
[25] Harry G. Perros,et al. An approximate analysis of a bufferless NxN synchronous Clos ATM switch , 1990 .
[26] Victor S. Frost,et al. Efficient estimation of cell blocking probability for ATM systems , 1991, ICC 91 International Conference on Communications Conference Record.
[27] Michael R. Frater,et al. Optimally efficient estimation of the statistics of rare events in queueing networks , 1991 .
[28] Michael Devetsikiotis,et al. A dynamic importance sampling methodology for the efficient estimation of rare event probabilities in regenerative simulations of queueing systems , 1992, [Conference Record] SUPERCOMM/ICC '92 Discovering a New World of Communications.
[29] Michael Devetsikiotis,et al. Optimization of importance sampling parameters for the efficient simulation of communication networks and ATM switches using mean field annealing , 1992, ACM-SE 30.
[30] Harry G. Perros,et al. A Queueing Model of a Bufferless Synchronous Clos ATM Switch with Head-of-Line Priority and Push-Out , 1992, J. High Speed Networks.
[31] Philip Heidelberger,et al. A Unified Framework for Simulating Markovian Models of Highly Dependable Systems , 1992, IEEE Trans. Computers.
[32] Michael Devetsikiotis,et al. An algorithmic approach to the optimization of importance sampling parameters in digital communication system simulation , 1993, IEEE Trans. Commun..
[33] Victor S. Frost,et al. Efficient estimation of cell blocking probability for ATM systems , 1993, TNET.