Book description
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
Table of contents
- Copyright
- Prentice Hall Communications Engineering and Emerging Technologies Series
- Preface
-
I. Introduction
- 1. The Role of Simulation
- 2. Simulation Methodology
-
II. Fundamental Concepts and Techniques
- 3. Sampling and Quantizing
-
4. Lowpass Simulation Models for Bandpass Signals and Systems
- 4.1. The Lowpass Complex Envelope for Bandpass Signals
- 4.2. Linear Bandpass Systems
- 4.3. Multicarrier Signals
- 4.4. Nonlinear and Time-Varying Systems
- 4.5. Summary
- 4.6. Further Reading
-
4.7. References
- 4.8. Problems
- 4.9. Appendix A: MATLAB Program QAMDEMO
- 4.10. Appendix B: Proof of Input-Output Relationship
-
5. Filter Models and Simulation Techniques
- 5.1. Introduction
- 5.2. IIR and FIR Filters
- 5.3. IIR and FIR Filter Implementations
- 5.4. IIR Filters: Synthesis Techniques and Filter Characteristics
- 5.5. FIR Filters: Synthesis Techniques and Filter Characteristics
- 5.6. Summary
- 5.7. Further Reading
-
5.8. References
- 5.9. Problems
- 5.10. Appendix A: Raised Cosine Pulse Example
- 5.11. Appendix B: Square Root Raised Cosine Pulse Example
- 5.12. Appendix C: MATLAB Code and Data for Example 5.11
-
6. Case Study: Phase-Locked Loops and Differential Equation Methods
- 6.1. Basic Phase-Locked Loop Concepts
- 6.2. First-Order and Second-Order Loops
- 6.3. Case Study: Simulating the PLL
- 6.4. Solving Differential Equations Using Simulation
- 6.5. Summary
- 6.6. Further Reading
-
6.7. References
- 6.8. Problems
- 6.9. Appendix A: PLL Simulation Program
- 6.10. Appendix B: Preprocessor for PLL Example Simulation
- 6.11. Appendix C: PLL Postprocessor
- 6.12. Appendix D: MATLAB Code for Example 6.3
-
7. Generating and Processing Random Signals
- 7.1. Stationary and Ergodic Processes
- 7.2. Uniform Random Number Generators
- 7.3. Mapping Uniform RVs to an Arbitrary pdf
- 7.4. Generating Uncorrelated Gaussian Random Numbers
- 7.5. Generating Correlated Gaussian Random Numbers
- 7.6. Establishing a pdf and a PSD
- 7.7. PN Sequence Generators
- 7.8. Signal Processing
- 7.9. Summary
- 7.10. Further Reading
-
7.11. References
- 7.12. Problems
- 7.13. Appendix A: MATLAB Code for Example 7.11
- 7.14. Main Program: c7_Jakes.m
- 8. Postprocessing
- 9. Introduction to Monte Carlo Methods
-
10. Monte Carlo Simulation of Communication Systems
- 10.1. Two Monte Carlo Examples
- 10.2. Semianalytic Techniques
- 10.3. Summary
-
10.4. References
- 10.5. Problems
- 10.6. Appendix A: Simulation Code for Example 10.1
- 10.7. Appendix B: Simulation Code for Example 10.2
- 10.8. Appendix C: Simulation Code for Example 10.3
- 10.9. Appendix D: Simulation Code for Example 10.4
-
11. Methodology for Simulating a Wireless System
- 11.1. System-Level Simplifications and Sampling Rate Considerations
- 11.2. Overall Methodology
- 11.3. Summary
- 11.4. Further Reading
-
11.5. References
- 11.6. Problems
-
III. Advanced Models and Simulation Techniques
-
12. Modeling and Simulation of Nonlinearities
- 12.1. Introduction
- 12.2. Modeling and Simulation of Memoryless Nonlinearities
- 12.3. Modeling and Simulation of Nonlinearities with Memory
- 12.4. Techniques for Solving Nonlinear Differential Equations
- 12.5. PLL Example
- 12.6. Summary
- 12.7. Further Reading
-
12.8. References
- 12.9. Problems
- 12.10. Appendix A: Saleh’s Model
- 12.11. Appendix B: MATLAB Code for Example 12.2
- 13. Modeling and Simulation of Time-Varying Systems
-
14. Modeling and Simulation of Waveform Channels
- 14.1. Introduction
- 14.2. Wired and Guided Wave Channels
- 14.3. Radio Channels
- 14.4. Multipath Fading Channels
- 14.5. Modeling Multipath Fading Channels
- 14.6. Random Process Models
- 14.7. Simulation Methodology
- 14.8. Summary
- 14.9. Further Reading
-
14.10. References
- 14.11. Problems
- 14.12. Appendix A: MATLAB Code for Example 14.1
- 14.13. Appendix B: MATLAB Code for Example 14.2
-
15. Discrete Channel Models
- 15.1. Introduction
- 15.2. Discrete Memoryless Channel Models
- 15.3. Markov Models for Discrete Channels with Memory
- 15.4. Example HMMs—Gilbert and Fritchman Models
- 15.5. Estimation of Markov Model Parameters
- 15.6. Two Examples
- 15.7. Summary
- 15.8. Further Reading
-
15.9. References
- 15.10. Problems
- 15.11. Appendix A: Error Vector Generation
- 15.12. Appendix B: The Baum-Welch Algorithm
- 15.13. Appendix C: The Semi-Hidden Markov Model
- 15.14. Appendix D: Run-Length Code Generation
- 15.15. Appendix E: Determination of Error-Free Distribution
-
16. Efficient Simulation Techniques
- 16.1. Tail Extrapolation
- 16.2. pdf Estimators
- 16.3. Importance Sampling
- 16.4. Summary
- 16.5. Further Reading
-
16.6. References
- 16.7. Problems
- 16.8. Appendix A: MATLAB Code for Example 16.3
-
17. Case Study: Simulation of a Cellular Radio System
- 17.1. Introduction
- 17.2. Cellular Radio System
- 17.3. Simulation Methodology
- 17.4. Summary
- 17.5. Further Reading
-
17.6. References
- 17.7. Problems
- 17.8. Appendix A: Program for Generating the Erlang B Chart
- 17.9. Appendix B: Initialization Code for Simulation
- 17.10. Appendix C: Modeling Co-Channel Interference
- 17.11. Appendix D: MATLAB Code for Wilkinson’s Method
-
18. Two Example Simulations
- 18.1. A Code-Division Multiple Access System
- 18.2. FDM System with a Nonlinear Satellite Transponder
-
18.3. References
- 18.4. Appendix A: MATLAB Code for CDMA Example
- 18.5. Appendix B: Preprocessors for CDMA Application
- 18.6. Appendix C: MATLAB Function c18_errvector.m
- 18.7. Appendix D: MATLAB Code for Satellite FDM Example
- About the Authors
-
12. Modeling and Simulation of Nonlinearities
Product information
- Title: Principles of Communication Systems Simulation with Wireless Applications
- Author(s):
- Release date: December 2003
- Publisher(s): Pearson
- ISBN: 0134947908
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