Table of Contents:
  • Introduction
  • Simulation and modeling methodology
  • Representation of signals and systems in simulation: analytic fundamentals
  • Modeling and simulation of linear time-invariant and time-varying systems
  • Modeling and simulation of nonlinear systems
  • Fundamentals of random variables and random processes for simulation
  • Monte Carlo simulation and generation of random numbers
  • Modeling of communication system: transmitter and receiver subsystems
  • Communication channels and models
  • Estimation of parameters in simulation
  • Estimation of performance measures from simulation
  • Four case studies
  • Problems and projects.