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Simulation Methods for Telecommunications

Course title: Simulation Methods for Telecommunications

Code: FEIT10Z017

Number of credits (ECTS): 6

Weekly number of classes: 3+1+1+0

Prerequisite for enrollment of the subject: Passed: Random Signals and Information Theory, Taken course: Basics of Telecommunications

Course goals/Competences: Getting familiar with techniques, methods and models for simulation of telecommunications systems (Using simulation for design and analysis of the performances of telecommunications systems)

Total available number of classes: 180

Curriculum: Importance of simulation. Using of simulation for design and performance evaluation of communications systems. Methods for modeling and simulation. Source of simulation errors. Representation of signals and systems for simulation. Modeling and simulation of linear systems. Linear and polynomial interpolation. Sampling and quantization of stationary random processes. Random number generators. Algorithms for generating of uniform random sequences. Methods for generation of random sequences according a predefined distribution. Generators of Gaussian noise. Monte Carlo simulations. Quasi-analytical Monte Carlo simulation. Simulation parameters estimation. Quality of estimators. Point estimation. Confidence interval. Distribution functions estimation. Histogram. Power spectral density estimation. Periodogram. Signal-to-noise ratio estimation. Monte Carlo estimator. Simulation of simple communications systems and their components: information source, channel coding, modulators, communication channel, receive filter, demodulator, detector.



Compulsory literature







Z. Hadzi – Velkov

Simulation methods in telecommunications

Internal script



М. C. Jeruchin, P. Balaban, K.S. Shanmugan

Simulation of communication systems

Kluwer Academic/Plenum Publishers



W. H. Tratner, K. S. Shanmugan, T. S. Rappaport, K. Kosbar

Principles of communication systems simulation with wireless applications

Prentice Hall