Modeling and Simulation of Communication Systems | Faculty of Technical Sciences

Subject: Modeling and Simulation of Communication Systems (17.EK474)

General information:

Category	Theoretical-methodological
Scientific or art field	Telecommunications and Signal Processing
ECTS	6

Acquiring knowledge about development and usage of communication system digital representation/computer model. Acquiring necessary skills for communication system simulation and performance evaluations using MATLAB simulation environment on general purpose computers. Developing skills for implementation of the developed model on a reconfigurable hardware platform (FPGA / SDR).

On successful completion of this subject, students should be able to: interpret the way a communication system is simulated on a universal computer platform; integrate a complete simulation model of a communication system within MATLAB environment; adjust and tune the parameters of the building blocks within the complex system; evaluate the performance of the designed communication system using a simulation environment; organize and analyze the results of simulations of communication systems; implement the developed model on a reconfigurable hardware platform (FPGA/SDR).

Introduction: the adequacy of simulations for the design and performance evaluation of Communication Systems (CS), the hierarchical decomposition of CS in simulations. Application of simulations in CS design: hardware and software simulation environment. Methodology of modeling and simulation: basic concepts, structure development, generic model of communication link, simulation flow. Representation and modeling of deterministic signals and LTI systems (analytical basics). Specificity of time-varying and non-linear systems. The use of random variables and random processes in simulations. Simulation of transmitting and receiving subsystems: formatting and souce coding, channel coding, communication channel, adaptation to the transmission medium (modulation, filtering), multiplexing / multiple access, synchronization. Calibration of simulations: adjusting the signal-to-noise ratio. Simulation and performance evaluation techniques: Monte Carlo. Errors in simulations. Validation of models and simulation results. Performing simulation experiments in MATLAB. Examples of implementation of basic communication systems on a reconfigurable hardware platform (FPGA/SDR).

Lectures, computer and lab exercises. Individual work (research and projects) and active learning.

Authors	Title	Year	Publisher	Language
Proakis, J.G., Salehi, M., Bauch, G.	Contemporary Communication Systems Using MATLAB and Simulink, 2nd ed.	2004	Thomson brooks/cole, Belmont	English
M. C. Jeruchim, P. Balaban, and K. S. Shanmugan	Simulation of Communication Systems, 2nd ed.	2002	Kluwer Academic Publishers	English
Mathuranathan Viswanathan	Simulation of Digital Communication Systems Using Matlab, 2nd ed.	2013	Kindle	English