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Principles of Modeling in Information Communication Systems and Networks
The authors present in this entry chapter the basic rubrics of models, modeling, and simulation, an un-
derstanding of which is indispensible for the comprehension of subsequent chapters of this text on the
all-important topic of modeling and simulation in Information Communication Systems and Networks
(ICSN). A good example is the case of analyzing simulation results of traffic models as a tool for investigat-
ing network behavioral pattarns as it affects the transmitted content (Atayero, et al., 2013). The various
classifications of models are discussed, for example classification based on the degree of semblance to
the original object (i.e. isomorphism). Various fundamental terminologies without the knowledge of which
the concepts and models and modeling cannot be properly understood are explained. Model stuctures
are highlighted and discussed. The methodological basis of formalizing complex system structures is
presented. The concept of componential approach to modeling is presented and the necessary stages of
mathematical model formation are examined and explained. The chapter concludes with a presentation
of the concept of simulation vis-Ã -vis information communication systems and networks
Numerical Methods of Multifractal Analysis in Information Communication Systems and Networks
In this chapter, the main principles of the theory of fractals and multifractals are stated. A singularity
spectrum is introduced for the random telecommunication traffic, concepts of fractal dimensions and
scaling functions, and methods used in their determination by means of Wavelet Transform Modulus
Maxima (WTMM) are proposed. Algorithm development methods for estimating multifractal spectrum
are presented. A method based on multifractal data analysis at network layer level by means of WTMM
is proposed for the detection of traffic anomalies in computer and telecommunication networks. The
chapter also introduces WTMM as the informative indicator to exploit the distinction of fractal dimen-
sions on various parts of a given dataset. A novel approach based on the use of multifractal spectrum
parameters is proposed for estimating queuing performance for the generalized multifractal traffic on
the input of a buffering device. It is shown that the multifractal character of traffic has significant impact
on queuing performance characteristics
Modeling and Simulation of Molecular Communication Systems with a Reversible Adsorption Receiver
In this paper, we present an analytical model for the diffusive molecular
communication (MC) system with a reversible adsorption receiver in a fluid
environment. The widely used concentration shift keying (CSK) is considered for
modulation. The time-varying spatial distribution of the information molecules
under the reversible adsorption and desorption reaction at the surface of a
receiver is analytically characterized. Based on the spatial distribution, we
derive the net number of newly-adsorbed information molecules expected in any
time duration. We further derive the number of newly-adsorbed molecules
expected at the steady state to demonstrate the equilibrium concentration.
Given the number of newly-adsorbed information molecules, the bit error
probability of the proposed MC system is analytically approximated.
Importantly, we present a simulation framework for the proposed model that
accounts for the diffusion and reversible reaction. Simulation results show the
accuracy of our derived expressions, and demonstrate the positive effect of the
adsorption rate and the negative effect of the desorption rate on the error
probability of reversible adsorption receiver with last transmit bit-1.
Moreover, our analytical results simplify to the special cases of a full
adsorption receiver and a partial adsorption receiver, both of which do not
include desorption.Comment: 14 pages, 8 figures, 1 algorithm, submitte
A Novel A Priori Simulation Algorithm for Absorbing Receivers in Diffusion-Based Molecular Communication Systems
A novel a priori Monte Carlo (APMC) algorithm is proposed to accurately
simulate the molecules absorbed at spherical receiver(s) with low computational
complexity in diffusion-based molecular communication (MC) systems. It is
demonstrated that the APMC algorithm achieves high simulation efficiency since
by using this algorithm, the fraction of molecules absorbed for a relatively
large time step length precisely matches the analytical result. Therefore, the
APMC algorithm overcomes the shortcoming of the existing refined Monte Carlo
(RMC) algorithm which enables accurate simulation for a relatively small time
step length only. Moreover, for the RMC algorithm, an expression is proposed to
quickly predict the simulation accuracy as a function of the time step length
and system parameters, which facilitates the choice of simulation time step for
a given system. Furthermore, a rejection threshold is proposed for both the RMC
and APMC algorithms to significantly save computational complexity while
causing an extremely small loss in accuracy.Comment: 11 pages, 14 figures, submitted to IEEE Transactions on
NanoBioscience. arXiv admin note: text overlap with arXiv:1803.0463
Laser Based Underwater Communication Systems
We report on recent progress in the field of visible light communications including direct modulation of blue laser devices at data rates beyond 10 Gbit/s, and the transmission of 2.5 Gbit/s OOK data through water. We also discuss the advantages of operating with single mode laser devices and matched filtering at the receiver in the context of applications with significant solar background. The system performance for two types of direct-detection receivers, a PIN detector and less conventional silicon Photomultiplier technology will be presented
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