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Simulation Of Communication Systems.pdf

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    Simulation of Communication Systems: Modeling, Methodology & Techniques
    The Series
    Copyright
    Preface
    Contents
    Ch1 Introduction
    Ch2 Simulation & Modeling Methodology
    Ch3 Representation of Signals & Systems in Simulation
    Ch4 Modeling & Simulation of Linear Time-Invariant & Time-Varying Systems
    Ch5 Modeling & Simulation of Nonlinear Systems
    Ch6 Fundamentals of Random Variables & Random Processes for Simulation
    Ch7 Monte Carlo Simulation & Generation of Random Numbers
    Ch8 Modeling of Communication Systems: Transmitter & Receiver Subsystems
    Ch9 Communication Channels & Models
    Ch10 Estimation of Parameters in Simulation
    Ch11 Estimation of Performance Measures from Simulation
    Ch12 Four Case Studies
    Problems & Projects
    AppA Collection of Useful Results for Error Probability of Digital Systems
    AppB Gaussian Tail Probabilities Q(x) & Approximation
    AppC Coefficients of Hermite Polynomials
    AppD Some Abscissas & Weights for Gaussian Quadrature Integration
    AppE Chi-Square Probabilities
    Index
    Simulation of Communication Systems Second Edition
    Information Technology: Transmission, Processing, and Storage Series Editor: Jack Keil Wolf University of California at San Diego La Jolla, California Editorial Board: James E. Mazo Bell Laboratories, Lucent Technologies Murray Hill, New Jersey John Proakis Northeastern University Boston, Massachusetts William H. Tranter Virginia Polytechnic Institute and State University Blacksburg, Virginia Multi-Carrier Digital Communications: Theory and Applications of OFDM Ahmad R. S. Bahai and Burton R. Saltzberg Principles of Digital Transmission: With Wireless Applications Sergio Benedetto and Ezio Biglieri Simulation of Communication Systems, Second Edition: Methodology, Modeling, and Techniques Michel C. Jeruchim, Philip Balaban, and K. Sam Shanmugan A Continuation Order Plan is available for this series. A continuation order will bring delivery of each new volume immediately upon publication. Volumes are billed only upon actual shipment. For further information please contact the publisher.
    Simulation of Communication Systems Second Edition Modeling, Methodology, and Techniques Michel C. Jeruchim Lockheed Martin Management & Data Systems Valley Forge, Pennsylvania Philip Balaban AT&T Laboratories Holmdel, New Jersey K. Sam Shanmugan University of Kansas Lawrence, Kansas KLUWER ACADEMIC PUBLISHERS NEW YORK, BOSTON, DORDRECHT, LONDON, MOSCOW
    9715 2672
    To Joan, Claude, and Kenny and to the memory of my parents, Sonia and Samuel Anna, to Victor and Nona and their families and to the memory of my parents, Shifra and Israel Radha, Kannon, and Ravi and to the memory of my parents —MCJ —PB —KSS
    Preface Since the first edition of the book was published, 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. Many new modeling and simulation approaches have been developed in the recent years, many more commercial simulation packages are available, and the evolution of powerful general mathematical applications packages has provided still more options for computer-aided design and analysis. With the current interest in digital mobile communications, a primary area of application of modeling and simulation is now to wireless systems of a different flavor than the traditional ones. Since the objective of modeling and simulation is to study and evaluate the behavior and performance of systems of current interest, the practice of simulation has naturally evolved along with the types of systems that have emerged or are being designed for the future. Nevertheless, to the extent that simulation is an embodiment of fundamental principles of several disciplines, communication theory in particular, the practice of modeling and simu- lation is still very much grounded in those basics. It is these principles, along with the many tricks of the trade that accompany their application, that still form the main focus of this second edition. This edition represents a substantial revision of the first, partly to accommodate the new applications that have arisen. The text has been extensively reorganized and expanded. It now contains 13 chapters instead of the previous 7. Some of the former chapters have been divided into more logical units, edited for greater clarity where needed, and extended in coverage for selected topics. This division was made in part to facilitate the use of this book as a teaching text. Two new chapters were added on material only lightly covered in the first edition. One new chapter, on modeling and simulation of nonlinear systems, provides a fairly extensive discussion of “black-box” modeling of nonlinear systems with memory, and a comple- mentary section on related measurement techniques. As hinted above, perhaps the most dramatic change in the communications/telecommunications industry since the first edition has been the explosion of wireless services. In consequence, we have included a new chapter on channel modeling, the bulk of which deals with multipath and fading channels, the usual environment for wireless systems. As in the first edition, one chapter provides several case studies as a means of illustrating different ways of approaching a problem and applying specific modeling and computational techniques from the arsenal of possibilities available to the simulation practitioner. The first case study is a thoroughly reworked version of a previous vii
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