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Computer Aided Design and Analysis of Communication Systems with Wireless Applications

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William H. Tranter, K. Sam Shanmugan, Theodore S. Rappaport, Kurt L. Kosbar

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Prentice Hall

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Summary

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, Computer Aided Design and Analysis of Communication Systems 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.

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Features

Real-world simulation techniques.
Allows for the analysis of complex and practical systems.
Systems level approach.
Provides students with a holistic view of communication systems by integrating a variety of concepts that are traditionally presented independently.
Worked problems and example simulations.
Allows students to see how the techniques should be effectively applied in an actual simulation model.
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.
Modern wireless communications—Including digital cellular techniques.
Provides students with practical, real-world experience in developing simulations for the most current specialty in communications.
Support materials available on-line.
Provides students with necessary MATLAB software code as well as viewgraphs designed to support
the course.
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Table of Contents

I. INTRODUCTION.


1. The Role of Simulation.
2. Simulation Methodology.

II. FUNDAMENTAL TECHNIQUES.


3. Sampling, Pulse Shaping and Discrete System Theory.
4. Signal and System Representations.
5. Filter Models and Simulation Techniques.
6. Case Study: The Phase-Locked Loop.
7. Noise Generation and Modeling.
8. Introduction to Monte Carlo Techniques.
9. Monte Carlo Simulation of Communication Systems.
10. Postprocessing.
11. Case Study: A Wireless Communications System.

III. ADVANCED MODELS AND SIMULATION TECHNIQUES.


12. Nonlinear Systems.
13. Modeling and Simulation of Time-Varying Systems.
14. Modeling and Simulation of Waveform Channel Models.
15. Discrete Channel Models.
16. Variance Reduction Techniques.
17. End-to-End Example: Simulation of a Cellular Radio System.
18. Co-Channel Interference in Wireless Communication Systems.
19. Case Study: Wideband CDMA System.

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