EL4291 Telecommunication System Modeling and Simulation Syllabus:
EL4291 Telecommunication System Modeling and Simulation Syllabus – Anna University PG Syllabus Regulation 2021
COURSE OBJECTIVES:
To enable the student to understand the various aspects of simulation methodology and performance
To appreciate the significance of selecting sampling frequency and modeling different types of signals and processing them
To expose the student to the different simulation techniques, their pros and cons and enable him to understand and interpret results using case studies
UNIT I SIMULATION METHODOLOGY
Introduction, Aspects of methodology, Performance Estimation, Simulation sampling frequency, Low pass equivalent simulation models for bandpass signals, Multicarrier signals, Non-linear and time varying systems, Post processing – Basic graphical techniques and estimations
UNIT II RANDOM SIGNAL GENERATION & PROCESSING
Uniform random number generation, Mapping uniform random variables to an arbitrary pdf, Correlated and Uncorrelated Gaussian random number generation, PN sequence generation, Random signal processing, Testing of random number generators.
UNIT III MONTE CARLO SIMULATION
Fundamental concepts, Application to communication systems, Monte Carlo integration, Semi – analytic techniques, Case study: Performance estimation of a wireless system
UNIT IV ADVANCED MODELS & SIMULATION TECHNIQUES
Modeling and simulation of non-linearities : Types, Memoryless non-linearities, Non-linearities with memory, Modeling and simulation of Time varying systems : Random process models, Tapped delay line model, Modeling and simulation of waveform channels, Discrete memoryless channel models, Markov model for discrete channels with memory.
UNIT V EFFICIENT SIMULATION TECHNIQUES
Tail extrapolation, pdf estimators, Importance Sampling methods, Case study: Simulation of a Cellular Radio System.
PRACTICALS:
1. Study the spectrum of response of linear and non-linear systems for single tone input
2. Generation of OFDM (multicarrier) signal and plot the spectrum (RF and Low pass equivalent)
3. Generation of uniform / Gaussian random numbers and verification of their probability distribution, autocorrelation and spectrum
4. Generation of uncorrelated and correlated random processes and verification of crosscorrelations
5. Generation of PN sequence and verification of properties and spectrum.
6. Application of Monte Carlo simulation for estimation of BER of a wireless communication link
7. Study the impact of non-linearity of amplifier on transmitter symbol constellation with the help of Saleh model
8. Studying the effect of time invariant (slow fading) frequency selecting channel with the help of symbol constellation
9. Studying the effect of time variant flat fading (memoryless) channel with the help of symbol constellation
COURSE OUTCOMES:
Upon completion of the course the student will be able to:
CO1: Understand the different signal generation and processing methods
CO2: Mathematically model a physical phenomena.
CO3: Simulate a phenomena so as to depict the characteristics that may be observed in a real experiment.
CO4: Apply knowledge of the different simulation techniques for designing a communication system or channel
CO5: Validate a simulated system performance so as to match a realistic scenario
TOTAL:45+30=75 PERIODS
REFERENCES
1. William.H.Tranter, K. Sam Shanmugam, Theodore. S. Rappaport, Kurt L. Kosbar, Principles of Communication Systems Simulation, Pearson Education (Singapore) Pvt. Ltd, 2004.
2. M.C. Jeruchim, P.Balaban and K. Sam Shanmugam, Simulation of Communication Systems: Modeling, Methodology and Techniques, Plenum Press, New York, 2001.
3. Averill.M.Law and W. David Kelton, Simulation Modeling and Analysis, McGraw Hill Inc., 2000.
4. Geoffrey Gorden, System Simulation, Prentice Hall of India, 2nd Edition, 1992.
5. Jerry Banks and John S. Carson, Discrete Event System Simulation, Prentice Hall of India, 1984.