Principles of Communication Systems Simulation with Wireless Applications
Principles of Communication Systems Simulation with Wireless Applications a hands-on, example-rich guide to simulating wireless communications systems. The first book to present complete MATLAB simulation models for predicting the impact of design changes, it treats every aspect of simulation: sampling, signal and system representations, filters, noise, Monte Carlo simulation, postprocessing, nonlinear and time-varying systems, waveform and discrete channels, co-channel interference, and more. It includes four detailed case studies.This volume 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, the book 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.Written by some of the world's leaders in communications, this is a hands-on, example-rich guide to simulating communications systems. The book offers practical guidance on every key aspect of simulation, as well as detailed models that can serve as laboratories for evaluating the potential impact of changes in system design.
K. Sam Shanmugan, Kurt L. Kosbar, Theodore S. Rappaport, William H. Tranter
Number Of Pages
Prentice Hall Communications Engineering and Emerging Technologies Series from Ted Rappaport
Prentice Hall PTR
Scholarly & Professional
LC Classification Number
Table Of Content
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.