II. Fundamental Concepts and Techniques
by Kurt L. Kosbar, William H. Tranter, Theodore S. Rappaport, K. Sam Shanmugan
Principles of Communication Systems Simulation with Wireless Applications
- 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
-
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