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Furthermore, this relation was verified by a simulation study, in which patients with different body masses were simulated with cylindrical phantoms.
A preliminary simulation study in [20] investigated a two-user, two-cell scenario.
The simulation study in this paper will be based on this model.
For this, we performed an extensive simulation study in an indoor office environment with high user throughput requirements.
The performance of the maximum likelihood estimators (MLEs) are also investigated by a simulation study in this section.
We will now use the analysis and design presented in Sections 3 and 4 in a simulation study in MATLAB.6.
First, we perform a simulation study in order to assess the performance of the MLEs on some points at the parametric space of one of the special models.
As verified by our simulation study in Section 6, in-situ schemes can simultaneously achieve good performance in terms of scalability, storage overhead, key-sharing probability, and resilience.
These settings are continuously used for the subsequent simulation study in Section 6. Figure 4a presents per-station throughput dynamics according to the given scenario.
We conclude that this framework shows promise in supporting the communication of a modeling and simulation study in a multidisciplinary setting.
A sample simulation study in different scenarios is illustrated to provide the usages and advantages of the proposed method with index of Interactive Service Performance.
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