Sentence examples for simulation of communication from inspiring English sources

In contrast, perfect synchronization is often assumed for the simulation of communication systems.

For simulation of communication systems, it is sufficient to consider excess delays.

Finally, an example of implementation of aforementioned channel model in simulation of communication at a real-life intersection was presented and discussed.

We contribute to better understanding of the IEEE 802.15.4 standard in the context of CPS by presenting a set of results of simulation experiments using OMNeT++, which is a popular open-source simulation platform especially suitable for simulation of communication networks.

Simulation of molecular communication requires modeling the new communication paradigm that comprises different options for encoding, transmission, propagation, reception, and decoding.

Additionally, the research also includes the simulation of the communication channel with different technologies.

The expression is validated by the Monte Carlo evaluation of the minimum distance and the full simulation of the communication chain.

In this section, we show how the channel model, discussed previously, can be used for simulation of a communication link at the real-life site, located at the intersection of Wonderland Road and Oxford Street at London, Ontario, Canada, as shown in Figure 20 (East of Wonderland Road view to the North-West).

Although the impact of this approximation cannot be analyzed theoretically, the numerical results in Figure 4 show that the mismatch between the proposed analytical approximation of the RMSE and the RMSE obtained by direct simulation of the communication system is larger in the low SNR region.

Let us remark that the approximation procedure described in this section is semianalytical: it essentially relies on the error formula of (55), and the Monte Carlo simulation is only used as a numerical tool to integrate w.r.t. the random variables a0, ρns,0, and ρ ̇ n s, 0 ρ ̈ n s, 0. The simulations required are computationally 'cheap' compared to a full simulation of the communication system.

On the other hand, although these communication methods have been successfully demonstrated in simulations, performance of communication schemes were usually quantified by assuming the identical chaos synchronization based on exact knowledge of the system parameters [27, 28], which may impose some limitations to applicability of these techniques.