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.
Table of Contents:
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.