Morsel
发表于 2025-3-25 04:49:16
Springer-Verlag Berlin Heidelberg 1998
jarring
发表于 2025-3-25 10:04:20
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事与愿违
发表于 2025-3-25 15:27:26
Time-Dependent Random Variables: Classical Stochastic Processestic process in Sect. 5.1, we introduce the class of Markov processes. In Sect. 5.2 the master equation is formulated, an equation describing the time evolution of the probability density of a Markov process. In this context, the relevance of the master equation for the description of the dynamics of general open systems will be emphasized.
podiatrist
发表于 2025-3-25 16:46:01
Changes of External Conditions. The external conditions were kept constant and the systems were adapted to these external conditions. It was for this situation that we formulated the equations of state expressing the relations among the system variables.
Expostulate
发表于 2025-3-25 21:21:16
streams (new calls and hand-off calls), and gave hand-off calls a finite buffer-capacity. We presented a matrix-analytic solution to numerically evaluate the performance of the mobile radio network with hand-off stream. A non-priority scheme and a priority scheme were also compared in several cases
JAUNT
发表于 2025-3-26 01:36:30
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upstart
发表于 2025-3-26 04:21:16
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极力证明
发表于 2025-3-26 09:01:53
Josef Honerkamp assignment scheme is not easily obtained, since it depends on the state of co-channel interference cells. We presented in this chapter two approximate methods for analyzing cellular mobile radio communication systems. In the first method, the blocking probability was obtained by finding the inter-a
CURB
发表于 2025-3-26 12:38:05
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jaunty
发表于 2025-3-26 17:22:26
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