Short description Building on the success of the first edition while filling a gap in the current literature, Mobile Radio Channels, Second Edition provides an understanding of the key issues currently being investigated in the area of mobile fading channel modeling. Including coverage of the fundamentals of stochastic and deterministic channel models as well as modeling and simulation of frequency-nonselective fading channels, this updated guide gives scientists and postgraduate students alike several new chapters, numerous illustrations, and MATLAB programs for the evaluation and simulation of mobile fading channels.
From the contents Preface to the Second Edition xi
List of Acronyms xv
List of Symbols xix
1 Introduction 1
1.1 The Evolution of Mobile Radio Systems 1
1.2 Basic Knowledge of Mobile Radio Channels 8
1.3 Structure of this Book 12
2 Random Variables, Stochastic Processes, and Deterministic Signals 17
2.1 Random Variables 17
2.2 Stochastic Processes 37
2.3 Deterministic Signals 48
2.4 Further Reading 52
Appendix 2.A Derivation of Rice's General Formula for the Level-Crossing Rate 52
3 Rayleigh and Rice Channels 55
3.1 System Theoretical Description of Multipath Channels 56
3.2 Formal Description of Rayleigh and Rice Channels 61
3.3 Elementary Properties of Rayleigh and Rice Channels 62
3.4 Statistical Properties of Rayleigh and Rice Channels 69
3.5 Further Reading 84
Appendix 3.A Derivation of the Jakes Power Spectral Density and the
Corresponding Autocorrelation Function 84
Appendix 3.B Derivation of the Autocorrelation Function of the Envelope 88
Appendix 3.C Derivation of the Autocovariance Spectrum of the Envelope Under
Isotropic Scattering Conditions 90
Appendix 3.D Derivation of the Level-Crossing Rate of Rice Processes with
Different Spectral Shapes of the Underlying Gaussian Random
Processes 91
4 Introduction to Sum-of-Sinusoids Channel Models 95
4.1 Principle of Deterministic Channel Modelling 96
4.2 Elementary Properties of Deterministic Sum-of-Sinusoids Processes 102
4.3 Statistical Properties of Deterministic Sum-of-Sinusoids Processes 107
4.4 Classes of Sum-of-Sinusoids Processes 123
4.5 Basics of Sum-of-Cisoids Channel Models 126
4.6 Criteria for the Performance Evaluation 135
4.7 Further Reading 135
Appendix 4.A Derivation of the Autocorrelation Function of the Squared Envelope
of Complex Deterministic Gaussian Processes 136
Appendix 4.B Derivation of the Exact Solution of the Level-Crossing Rate and the
Average Duration of Fades of Deterministic Rice Processes 137
5 Parametrization of Sum-of-Sinusoids Channel Models 149
5.1 Methods for Computing the Doppler Frequencies and Gains 151
5.2 Methods for Computing the Phases 212
5.3 Fading Intervals of Deterministic Rayleigh Processes 214
5.4 Parametrization of Sum-of-Cisoids Channel Models 222
5.5 Concluding Remarks and Further Reading 234
Appendix 5.A Analysis of the Relative Model Error by Using the Monte Carlo
Method 236
Appendix 5.B Proof of the Convergence of the Sample Mean Autocorrelation
Function by Using the MEDS-SP 238
Appendix 5.C Proof of the Condition for Uncorrelated Inphase and Quadrature
Components of SOC Processes 239
6 Frequency-Nonselective Channel Models 241
6.1 The Extended Suzuki Process of Type I 243
6.2 The Extended Suzuki Process of Type II 268
6.3 The Generalized Rice Process 290
6.4 The Modified Loo Model 300
6.5 Modelling of Nonstationary Land Mobile Satellite Channels 319
7 Frequency-Selective Channel Models 335
7.1 The Ellipse Model of Parsons and Bajwa 336
7.2 System Theoretical Description of Frequency-Selective Channels 338
