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Principles of Communication Systems Simulation with Wireless Applications
William H. Tranter, Virginia Polytechnic Institute
K. Sam Shanmugan, University of Kansas
Theodore S. Rappaport, University of Texas, Austin
Kurt L. Kosbar, University of Missouri

ISBN-10: 0134947908
ISBN-13: 9780134947907

Publisher: Prentice Hall
Copyright: 2004
Format: Paper; 800 pp
Published: 12/30/2003

Suggested retail price: $95.00
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For one-semester graduate-level Electrical Engineering courses covering simulation-based design and analysis of communication systems, as well as a reference for professional engineers responsible for the design or analysis of communication systems, or professionals who wish to learn computer-based simulation techniques.

This book presents a comprehensive overview of computer-based simulation models and methodologies for communication systems. Because such models are a useful and necessary tool in the design, analysis, and performance of communication systems as well as a means of evaluating design changes in these systems, Principles Of Communication Systems Simulation With Wireless Applications uses MATLAB as a basis for developing effective computer-based simulations. Such simulations are intended to capture the essential features of the system to assure accurate results while minimizing the complexity of the model, ensuring execution of the simulation code in a reasonable amount of time. Among the fundamental topics covered are probability, random, process, and estimation theory and their roles in the design of computer-based simulations.

  • Real-world simulation techniques.

    • Allows for the analysis of complex and practical systems. Ex.___

  • Systems level approach.

    • Provides students with a holistic view of communication systems by integrating a variety of concepts that are traditionally presented independently. Ex.___

  • Worked problems and example simulations.

    • Allows students to see how the techniques should be effectively applied in an actual simulation model. Ex.___

  • Example simulations using the Student Edition of MATLAB—Carefully documents each example.

    • Ensures that the majority of students will be able make use of the simulation examples since MATLAB is already used extensively in engineering curricula. Ex.___

  • Modern wireless communications—Including digital cellular techniques.

    • Provides students with practical, real-world experience in developing simulations for the most current specialty in communications. Ex.___

  • Support materials available on-line.

    • Provides students with necessary MATLAB software code as well as viewgraphs designed to support the course. Ex.___



Preface.

I. INTRODUCTION.

1. The Role of Simulation.

Examples of Complexity. Multidisciplinary Aspects of Simulation. Models. Deterministic and Stochastic Simulations. The Role of Simulation. Software Packages for Simulation. A Word of Warning. The Use of MATLAB. Outline of the Book. Further Reading.

2. Simulation Methodology.

Introduction. Aspects of Methodology. Performance Estimation. Summary. Further Reading. Problems.

II. FUNDAMENTAL CONCEPTS AND TECHNIQUES.

3. Sampling and Quantizing.

Sampling. Quantizing. Reconstruction and Interpolation. The Simulation Sampling Frequency. Summary. Further Reading. References. Problems.

4. Lowpass Simulation Models for Bandpass Signals and Systems.

The Lowpass Complex Envelope for Bandpass Signals. Linear Bandpass Systems. Multicarrier Signals. Nonlinear and Time-Varying Systems. Summary. Further Reading. References. Problems. Appendix A: MATLAB Program QAMDEMO. Appendix B: Proof of Input-Output Relationship.

5. Filter Models and Simulation Techniques.

Introduction. IIR and FIR Filters. IIR and FIR Filter Implementations. IIR Filters: Synthesis Techniques and Filter Characteristics. FIR Filters: Synthesis Techniques and Filter Characteristics. Summary. Further Reading. References. Problems. Appendix A: Raised Cosine Pulse Example. Appendix B: Square Root Raised Cosine Pulse Example. Appendix C: MATLAB Code and Data for Example 5.11.

6. Case Study: Phase-Locked Loops and Differential Equation Methods.

Basic Phase-Locked Loop Concepts. First-Order and Second-Order Loops. Case Study: Simulating the PLL. Solving Differential Equations Using Simulation. Summary. Further Reading. References. Problems. Appendix A: PLL Simulation Program. Appendix B: Preprocessor for PLL Example Simulation. Appendix C: PLL Postprocessor. Appendix D: MATLAB Code for Example 6.3.

7. Generating and Processing Random Signals.

Stationary and Ergodic Processes. Uniform Random Number Generators. Mapping Uniform RVs to an Arbitrary pdf. Generating Uncorrelated Gaussian Random Numbers. Generating Correlated Gaussian Random Numbers. Establishing a pdf and a PSD. PN Sequence Generators. Signal Processing. Summary. Further Reading. References. Problems. Appendix A: MATLAB Code for Example 7.11. Main Program: c7 Jakes.m.

8. Postprocessing.

Basic Graphical Techniques. Estimation. Coding. Summary. Further Reading. References. Problems. Appendix A: MATLAB Code for Example 8.1.

9. Introduction to Monte Carlo Methods.

Fundamental Concepts. Application to Communications Systems—The AWGN Channel. Monte Carlo Integration. Summary. Further Reading. References. Problems.

10. Monte Carlo Simulation of Communication Systems.

Two Monte Carlo Examples. Semianalytic Techniques. Summary. References. Problems. Appendix A: Simulation Code for Example 10.1. Appendix B: Simulation Code for Example 10.2. Appendix C: Simulation Code for Example 10.3. Appendix D: Simulation Code for Example 10.4.

11. Methodology for Simulating a Wireless System.

System-Level Simplifications and Sampling Rate Considerations. Overall Methodology. Summary. Further Reading. References. Problems.

III. ADVANCED MODELS AND SIMULATION TECHNIQUES.

12. Modeling and Simulation of Nonlinearities.

Introduction. Modeling and Simulation of Memoryless Nonlinearities. Modeling and Simulation of Nonlinearities with Memory. Techniques for Solving Nonlinear Differential Equations. PLL Example. Summary. Further Reading. References. Problems. Appendix A: Saleh's Model. Appendix B: MATLAB Code for Example 12.2.

13. Modeling and Simulation of Time-Varying Systems.

Introduction. Models for LTV Systems. Random Process Models. Simulation Models for LTV Systems. MATLAB Examples. Summary. Further Reading. References. Problems. Appendix A: Code for MATLAB Example 1. Appendix B: Code for MATLAB Example 2.

14. Modeling and Simulation of Waveform Channels.

Introduction. Wired and Guided Wave Channels. Radio Channels. Multipath Fading Channels. Modeling Multipath Fading Channels. Random Process Models. Simulation Methodology. Summary. Further Reading. References. Problems. Appendix A: MATLAB Code for Example 14.1. Appendix B: MATLAB Code for Example 14.2.

15. Discrete Channel Models.

Introduction. Discrete Memoryless Channel Models. Markov Models for Discrete Channels with Memory. Example HMMs—Gilbert and Fritchman Models. Estimation of Markov Model Parameters. Two Examples. Summary. Further Reading. References. Problems. Appendix A: Error Vector Generation. Appendix B: The Baum-Welch Algorithm. Appendix C: The Semi-Hidden Markov Model. Appendix D: Run-Length Code Generation. Appendix E: Determination of Error-Free Distribution.

16. Efficient Simulation Techniques.

Tail Extrapolation. pdf Estimators. Importance Sampling. Summary. Further Reading. References. Problems. Appendix A: MATLAB Code for Example 16.3.

17. Case Study: Simulation of a Cellular Radio System.

Introduction. Cellular Radio System. Simulation Methodology. Summary. Further Reading. References. Problems. Appendix A: Program for Generating the Erlang B Chart. Appendix B: Initialization Code for Simulation. Appendix C: Modeling Co-Channel Interference. Appendix D: MATLAB Code for Wilkinson's Method.

18. Two Example Simulations.

A Code-Division Multiple Access System. FDM System with a Nonlinear Satellite Transponder. References. Appendix A: MATLAB Code for CDMA Example. Appendix B: Preprocessors for CDMA Application. Appendix C: MATLAB Function c18 errvector.m. Appendix D: MATLAB Code for Satellite FDM Example.

Index.

About The Authors.

WILLIAM H. TRANTER is Bradley Professor of Communications and Associate Director of the Mobile and Portable Radio Research Group at Virginia Tech. He has authored or co-authored many technical papers and two widely used textbooks: Principles of Communications: Systems, Modeling, and Noise, Fifth Edition and Signals and Systems: Continuous and Discrete, Fourth Edition. He is a Fellow of the IEEE and currently serves as Vice President - Technical Activities of the IEEE Communications Society.

K. SAM SHANMUGAN is Southwestern Bell Distinguished Professor of Electrical Engineering and Computer Science at The University of Kansas, Lawrence. He is a Fellow of the IEEE and author or co-author of over 100 publications and three books: Digital and Analog Communication Systems, Random Signals and Noise, and Simulation of Communication Systems, Second Edition.

THEODORE S. RAPPAPORT is a professor of Electrical and Computer Engineering at the University of Texas, and director of the Wireless Networking and Communications Group (WNCG.org). In 1990, he founded the Mobile and Portable Radio Research Group (MPRG) at Virginia Tech, one of the first university research and educational programs for the wireless communications field. He is the editor or co-editor of four other books on the topic of wireless communications, based on his teaching and research activities at MPRG.

KURT L. KOSBAR is Assistant Chair for Laboratories and Equipment, Department of Electrical and Computer Engineering, University of Missouri, Rolla.

The hands-on, example-rich guide to modeling and simulating advanced communications systems.

Simulation is an important tool used by engineers to design and implement advanced communication systems that deliver optimal performance. This book is a hands-on, example-rich guide to modeling and simulating advanced communications systems. The authors take a systems-level approach, integrating digital communications, channel modeling, coding, elementary statistical estimation techniques, and other essential facets of modeling and simulation. This is the first book to present complete simulation models built with MATLAB that can serve as virtual laboratories for predicting the impact of system design changes. Coverage includes:

  • Role of simulation in communication systems engineering
  • Simulation approaches and methodologies
  • Signal and system representations, filter models, noise generation, Monte Carlo simulation, and postprocessing
  • Advanced techniques for modeling and simulating nonlinear and time-varying systems
  • Waveform level and discrete channel models
  • Performance estimation via Monte Carlo simulation
  • Semianalytic simulation techniques
  • Variance reduction techniques
  • Co-channel interference in wireless communication systems, and more

The authors also present detailed case studies covering phase-locked loops, CDMA systems, multichannel nonlinear systems, as well as a start-to-finish simulation of an advanced cellular radio system.

Prentice Hall Series in Communications Engineering & Emerging Technologies, Theodore S. Rappaport, Editor

View a Sample Chapter PDF: /samplechapter/0134947908.pdf

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