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The complete paging system's delay characteristics are evaluated analytically to estimate dependencies of the session blocking probability on the network's link delay and IEEE802.11 specific power saving parameter settings.
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The blocking probability of the cellular communication systems is analyzed based on Markov chain.
The reported blocking probability for the on-demand scheme is less than the poverty-line.
Figure 11 shows the blocking probability for the two schemes.
The method for the determination of the blocking probability depends on the adopted model of the system, e.g., there is a choice of the FAG model for the Iub interface (Formulas 9 10) or the EIG model for the WCDMA interface (Formulas 17 22).
This behavior affects also how the blocking probability depends on the ratio b/B, as reported in Figure 9: the step-like trend of the curves is caused by the abrupt change in the number of simultaneous group migrations supported by each network pipe, which decreases from 4 to 1.
This figure also compares three different handoff management schemes to study the handoff blocking probability based on the simulation results.
On the other hand, blocking probability would reflect the ability of the system to serve the incoming traffic.
As a result of the thus executed method of servicing calls in the system, class two traffic, the one with the lower priority, has no influence on the blocking probability of calls of the first class (i.e., the one with the higher priority).
Section 4.2 investigated the effect of the three EMC constraints on the blocking probability and the dropping probability and presented that these three EMC constraints greatly worsen the performance of channel assignment methods.
Then we present a programming formulation for circulation network design with blocking probability control based on the queuing network model.
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