Simulation of Communication Systems: Modeling, Methodology and Techniques

ISBN-13: 9781475773460 / Angielski / Miękka / 2013 / 907 str.

Michel C. Jeruchim; Philip Balaban; K. Sam Shanmugan

Opis

Since the first edition of this book was published seven years ago, the field of modeling and simulation of communication systems has grown and matured in many ways, and the use of simulation as a day-to-day tool is now even more common practice. With the current interest in digital mobile communications, a primary area of application of modeling and simulation is now in wireless systems of a different flavor from the traditional' ones.
This second edition represents a substantial revision of the first, partly to accommodate the new applications that have arisen. New chapters include material on modeling and simulation of nonlinear systems, with a complementary section on related measurement techniques, channel modeling and three new case studies; a consolidated set of problems is provided at the end of the book.

Recenzje

From reviews of the first edition:
`An excellent and long overdue addition to the literature ... Identifies the important concepts and techniques necessary for an introductory understanding of the field ... [This book is] highly recommended for anyone developing a simulation of a communication system, using simulation program for the design or analysis of a communication system, or considering the application of these tools to their own design and analysis problems.'
William H. Tranter, IEEE Communications Magazine

Spis treści

Preface to the Second Edition. 1. Introduction. 2. Simulation and Modeling Methodology. 3. Representation of Signals and Systems in Simulation: Analytic Fundamentals. 4. Modeling and Simulation of Linear Time-Invariant and Time-Varying Systems. 5. Modeling and Simulation of Nonlinear Systems. 6. Fundamentals of Random Variables and Random Processes for Simulation. 7. Monte Carlo Simulation and Generation of Random Numbers. 8. Modeling of Communication Systems: Transmitter and Receiver Subsystems. 9. Communication Channels and Models. 10. Estimation of Parameters in Simulation. 11. Estimation of Performance Measures from Simulation. 12. Four Case Studies. Appendices: A. A Collection of Useful Results for the Error Probability of Digital Systems. B. Gaussian Tail Probabilities Q(x) and an Approximation Q°(x). C. Coefficients of the Hermite Polynomials. D. Some Abscissas and Weights for Gaussian Quadrature Integration. E. Chi-Square Probabilities. Index.