{"product_id":"mobile-radio-channels-isbn-9780470517475","title":"Mobile Radio Channels","description":"Providing a comprehensive overview of the modelling, analysis and simulation of mobile radio channels, this book gives a detailed understanding of fundamental issues and examines state-of-the-art techniques in mobile radio channel modelling. It analyses several mobile fading channels, including terrestrial and satellite flat-fading channels, various types of wideband channels and advanced MIMO channels, providing a fundamental understanding of the issues currently being investigated in the field. \u003cp\u003eImportant classes of narrowband, wideband, and space-time wireless channels are explored in detail with descriptions of efficient simulation methods for mobile radio channels being central. Strong emphasis is placed on the detailed origin of the presented channel models and a high degree of mathematical unity is conveyed. Using the described channel models, the reader can evaluate the performance of wireless communication systems under propagation conditions which are typical for multipath channels in various environments.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eIntroduces the fundamentals of stochastic and deterministic channel models\u003c\/li\u003e \u003cli\u003eExplores the modelling and simulation of both wideband and narrowband mobile radio channels as well as several classes of MIMO channels\u003c\/li\u003e \u003cli\u003eDescribes general concepts including geometrical, reference and simulation models\u003c\/li\u003e \u003cli\u003eDiscusses several methods for the modelling of given Doppler, delay, and angular profiles\u003c\/li\u003e \u003cli\u003eElaborates on methods for the design, analysis, and realisation of efficient channel simulators\u003c\/li\u003e \u003cli\u003eExamines techniques for the development of fast channel simulators\u003c\/li\u003e \u003cli\u003eProvides links for downloading MATLAB®, programs enabling the simulation and analysis of the mobile fading channels models presented, on the companion website http:\/\/www.wiley.com\/go\/paetzold\u003c\/li\u003e \u003c\/ul\u003e  \u003cb\u003ePreface to the Second Edition xi\u003c\/b\u003e  \u003cp\u003e\u003cb\u003eList of Acronyms xv\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eList of Symbols xix\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 The Evolution of Mobile Radio Systems 1\u003c\/p\u003e \u003cp\u003e1.2 Basic Knowledge of Mobile Radio Channels 8\u003c\/p\u003e \u003cp\u003e1.3 Structure of this Book 12\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Random Variables, Stochastic Processes, and Deterministic Signals 17\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Random Variables 17\u003c\/p\u003e \u003cp\u003e\u003ci\u003e2.1.1 Basic Definitions of Probability Theory\u003c\/i\u003e 17\u003c\/p\u003e \u003cp\u003e\u003ci\u003e2.1.2 Important Probability Density Functions\u003c\/i\u003e 24\u003c\/p\u003e \u003cp\u003e\u003ci\u003e2.1.3 Functions of Random Variables\u003c\/i\u003e 35\u003c\/p\u003e \u003cp\u003e2.2 Stochastic Processes 37\u003c\/p\u003e \u003cp\u003e\u003ci\u003e2.2.1 Stationary Processes\u003c\/i\u003e 40\u003c\/p\u003e \u003cp\u003e\u003ci\u003e2.2.2 Ergodic Processes\u003c\/i\u003e 42\u003c\/p\u003e \u003cp\u003e\u003ci\u003e2.2.3 Level-Crossing Rate and Average Duration of Fades\u003c\/i\u003e 43\u003c\/p\u003e \u003cp\u003e\u003ci\u003e2.2.4 Linear Systems with Stochastic Inputs\u003c\/i\u003e 45\u003c\/p\u003e \u003cp\u003e2.3 Deterministic Signals 48\u003c\/p\u003e \u003cp\u003e\u003ci\u003e2.3.1 Deterministic Continuous-Time Signals\u003c\/i\u003e 48\u003c\/p\u003e \u003cp\u003e\u003ci\u003e2.3.2 Deterministic Discrete-Time Signals\u003c\/i\u003e 50\u003c\/p\u003e \u003cp\u003e2.4 Further Reading 52\u003c\/p\u003e \u003cp\u003eAppendix 2.A Derivation of Rice’s General Formula for the Level-Crossing Rate 52\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Rayleigh and Rice Channels 55\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 System Theoretical Description of Multipath Channels 56\u003c\/p\u003e \u003cp\u003e3.2 Formal Description of Rayleigh and Rice Channels 61\u003c\/p\u003e \u003cp\u003e3.3 Elementary Properties of Rayleigh and Rice Channels 62\u003c\/p\u003e \u003cp\u003e\u003ci\u003e3.3.1 Autocorrelation Function and Spectrum of the Complex Envelope\u003c\/i\u003e 62\u003c\/p\u003e \u003cp\u003e\u003ci\u003e3.3.2 Autocorrelation Function and Spectrum of the Envelope\u003c\/i\u003e 65\u003c\/p\u003e \u003cp\u003e\u003ci\u003e3.3.3 Autocorrelation Function and Spectrum of the Squared Envelope\u003c\/i\u003e 67\u003c\/p\u003e \u003cp\u003e3.4 Statistical Properties of Rayleigh and Rice Channels 69\u003c\/p\u003e \u003cp\u003e\u003ci\u003e3.4.1 Probability Density Function of the Envelope and the Phase\u003c\/i\u003e 70\u003c\/p\u003e \u003cp\u003e\u003ci\u003e3.4.2 Probability Density Function of the Squared Envelope\u003c\/i\u003e 72\u003c\/p\u003e \u003cp\u003e\u003ci\u003e3.4.3 Level-Crossing Rate and Average Duration of Fades\u003c\/i\u003e 73\u003c\/p\u003e \u003cp\u003e\u003ci\u003e3.4.4 The Statistics of the Fading Intervals of Rayleigh Channels\u003c\/i\u003e 77\u003c\/p\u003e \u003cp\u003e3.5 Further Reading 84\u003c\/p\u003e \u003cp\u003eAppendix 3.A Derivation of the Jakes Power Spectral Density and the\u003c\/p\u003e \u003cp\u003eCorresponding Autocorrelation Function 84\u003c\/p\u003e \u003cp\u003eAppendix 3.B Derivation of the Autocorrelation Function of the Envelope 88\u003c\/p\u003e \u003cp\u003eAppendix 3.C Derivation of the Autocovariance Spectrum of the Envelope Under\u003c\/p\u003e \u003cp\u003eIsotropic Scattering Conditions 90\u003c\/p\u003e \u003cp\u003eAppendix 3.D Derivation of the Level-Crossing Rate of Rice Processes with\u003c\/p\u003e \u003cp\u003eDifferent Spectral Shapes of the Underlying Gaussian Random\u003c\/p\u003e \u003cp\u003eProcesses 91\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Introduction to Sum-of-Sinusoids Channel Models 95\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Principle of Deterministic Channel Modelling 96\u003c\/p\u003e \u003cp\u003e4.2 Elementary Properties of Deterministic Sum-of-Sinusoids Processes 102\u003c\/p\u003e \u003cp\u003e4.3 Statistical Properties of Deterministic Sum-of-Sinusoids Processes 107\u003c\/p\u003e \u003cp\u003e\u003ci\u003e4.3.1 Probability Density Function of the Envelope and the Phase\u003c\/i\u003e 108\u003c\/p\u003e \u003cp\u003e\u003ci\u003e4.3.2 Level-Crossing Rate and Average Duration of Fades\u003c\/i\u003e 115\u003c\/p\u003e \u003cp\u003e\u003ci\u003e4.3.3 Statistics of the Fading Intervals at Low Signal Levels\u003c\/i\u003e 120\u003c\/p\u003e \u003cp\u003e\u003ci\u003e4.3.4 Stationarity and Ergodicity of Sum-of-Sinusoids Processes\u003c\/i\u003e 122\u003c\/p\u003e \u003cp\u003e4.4 Classes of Sum-of-Sinusoids Processes 123\u003c\/p\u003e \u003cp\u003e4.5 Basics of Sum-of-Cisoids Channel Models 126\u003c\/p\u003e \u003cp\u003e\u003ci\u003e4.5.1 Elementary Properties of Stochastic Sum-of-Cisoids Processes\u003c\/i\u003e 127\u003c\/p\u003e \u003cp\u003e\u003ci\u003e4.5.2 Probability Density Function of the Envelope and Phase\u003c\/i\u003e 129\u003c\/p\u003e \u003cp\u003e4.6 Criteria for the Performance Evaluation 135\u003c\/p\u003e \u003cp\u003e4.7 Further Reading 135\u003c\/p\u003e \u003cp\u003eAppendix 4.A Derivation of the Autocorrelation Function of the Squared Envelope\u003c\/p\u003e \u003cp\u003eof Complex Deterministic Gaussian Processes 136\u003c\/p\u003e \u003cp\u003eAppendix 4.B Derivation of the Exact Solution of the Level-Crossing Rate and the\u003c\/p\u003e \u003cp\u003eAverage Duration of Fades of Deterministic Rice Processes 137\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Parametrization of Sum-of-Sinusoids Channel Models 149\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Methods for Computing the Doppler Frequencies and Gains 151\u003c\/p\u003e \u003cp\u003e\u003ci\u003e5.1.1 Method of Equal Distances (MED)\u003c\/i\u003e 151\u003c\/p\u003e \u003cp\u003e\u003ci\u003e5.1.2 Mean-Square-Error Method (MSEM)\u003c\/i\u003e 157\u003c\/p\u003e \u003cp\u003e\u003ci\u003e5.1.3 Method of Equal Areas (MEA)\u003c\/i\u003e 162\u003c\/p\u003e \u003cp\u003e\u003ci\u003e5.1.4 Monte Carlo Method (MCM)\u003c\/i\u003e 170\u003c\/p\u003e \u003cp\u003e\u003ci\u003e5.1.5 Jakes Method (JM)\u003c\/i\u003e 178\u003c\/p\u003e \u003cp\u003e\u003ci\u003e5.1.6 Lp-Norm Method (LPNM)\u003c\/i\u003e 189\u003c\/p\u003e \u003cp\u003e\u003ci\u003e5.1.7 Method of Exact Doppler Spread (MEDS)\u003c\/i\u003e 201\u003c\/p\u003e \u003cp\u003e\u003ci\u003e5.1.8 Randomized Method of Exact Doppler Spread (RMEDS)\u003c\/i\u003e 205\u003c\/p\u003e \u003cp\u003e\u003ci\u003e5.1.9 Method of Exact Doppler Spread with Set Partitioning (MEDS-SP)\u003c\/i\u003e 207\u003c\/p\u003e \u003cp\u003e5.2 Methods for Computing the Phases 212\u003c\/p\u003e \u003cp\u003e5.3 Fading Intervals of Deterministic Rayleigh Processes 214\u003c\/p\u003e \u003cp\u003e5.4 Parametrization of Sum-of-Cisoids Channel Models 222\u003c\/p\u003e \u003cp\u003e\u003ci\u003e5.4.1 Problem Description\u003c\/i\u003e 222\u003c\/p\u003e \u003cp\u003e\u003ci\u003e5.4.2 Extended Method of Exact Doppler Spread (EMEDS)\u003c\/i\u003e 222\u003c\/p\u003e \u003cp\u003e\u003ci\u003e5.4.3 Lp-Norm Method (LPNM)\u003c\/i\u003e 224\u003c\/p\u003e \u003cp\u003e\u003ci\u003e5.4.4 Generalized Method of Equal Areas (GMEA)\u003c\/i\u003e 225\u003c\/p\u003e \u003cp\u003e\u003ci\u003e5.4.5 Performance Analysis\u003c\/i\u003e 228\u003c\/p\u003e \u003cp\u003e5.5 Concluding Remarks and Further Reading 234\u003c\/p\u003e \u003cp\u003eAppendix 5.A Analysis of the Relative Model Error by Using the Monte Carlo\u003c\/p\u003e \u003cp\u003eMethod 236\u003c\/p\u003e \u003cp\u003eAppendix 5.B Proof of the Convergence of the Sample Mean Autocorrelation\u003c\/p\u003e \u003cp\u003eFunction by Using the MEDS-SP 238\u003c\/p\u003e \u003cp\u003eAppendix 5.C Proof of the Condition for Uncorrelated Inphase and Quadrature\u003c\/p\u003e \u003cp\u003eComponents of SOC Processes 239\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Frequency-Nonselective Channel Models 241\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 The Extended Suzuki Process of Type I 243\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.1.1 Modelling and Analysis of Short-Term Fading\u003c\/i\u003e 243\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.1.2 Modelling and Analysis of Long-Term Fading\u003c\/i\u003e 254\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.1.3 The Stochastic Extended Suzuki Process of Type I\u003c\/i\u003e 257\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.1.4 The Deterministic Extended Suzuki Process of Type I\u003c\/i\u003e 262\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.1.5 Applications and Simulation Results\u003c\/i\u003e 265\u003c\/p\u003e \u003cp\u003e6.2 The Extended Suzuki Process of Type II 268\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.2.1 Modelling and Analysis of Short-Term Fading\u003c\/i\u003e 269\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.2.2 The Stochastic Extended Suzuki Process of Type II\u003c\/i\u003e 279\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.2.3 The Deterministic Extended Suzuki Process of Type II\u003c\/i\u003e 283\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.2.4 Applications and Simulation Results\u003c\/i\u003e 287\u003c\/p\u003e \u003cp\u003e6.3 The Generalized Rice Process 290\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.3.1 The Stochastic Generalized Rice Process\u003c\/i\u003e 291\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.3.2 The Deterministic Generalized Rice Process\u003c\/i\u003e 295\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.3.3 Applications and Simulation Results\u003c\/i\u003e 298\u003c\/p\u003e \u003cp\u003e6.4 The Modified Loo Model 300\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.4.1 The Stochastic Modified Loo Model\u003c\/i\u003e 300\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.4.2 The Deterministic Modified Loo Model\u003c\/i\u003e 311\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.4.3 Applications and Simulation Results\u003c\/i\u003e 317\u003c\/p\u003e \u003cp\u003e6.5 Modelling of Nonstationary Land Mobile Satellite Channels 319\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.5.1 Lutz’s Two-State Channel Model\u003c\/i\u003e 320\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.5.2 M-State Channel Models\u003c\/i\u003e 322\u003c\/p\u003e \u003cp\u003e\u003ci\u003e6.5.3 Modelling of Nonstationary Real-World LMS Channels\u003c\/i\u003e 323\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Frequency-Selective Channel Models 335\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 The Ellipse Model of Parsons and Bajwa 336\u003c\/p\u003e \u003cp\u003e7.2 System Theoretical Description of Frequency-Selective Channels 338\u003c\/p\u003e \u003cp\u003e7.3 Frequency-Selective Stochastic Channel Models 342\u003c\/p\u003e \u003cp\u003e\u003ci\u003e7.3.1 Correlation Functions\u003c\/i\u003e 342\u003c\/p\u003e \u003cp\u003e\u003ci\u003e7.3.2 The WSSUS Model According to Bello\u003c\/i\u003e 344\u003c\/p\u003e \u003cp\u003e\u003ci\u003e7.3.3 The COST 207 Channel Models\u003c\/i\u003e 352\u003c\/p\u003e \u003cp\u003e\u003ci\u003e7.3.4 The HIPERLAN\/2 Channel Models\u003c\/i\u003e 358\u003c\/p\u003e \u003cp\u003e7.4 Frequency-Selective Sum-of-Sinusoids Channel Models 358\u003c\/p\u003e \u003cp\u003e\u003ci\u003e7.4.1 System Functions of Sum-of-Sinusoids Uncorrelated Scattering\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003e(SOSUS) Models\u003c\/i\u003e 358\u003c\/p\u003e \u003cp\u003e\u003ci\u003e7.4.2 Correlation Functions and Power Spectral Densities of\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eSOSUS Models\u003c\/i\u003e 364\u003c\/p\u003e \u003cp\u003e\u003ci\u003e7.4.3 Delay Power Spectral Density, Doppler Power Spectral Density,\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eand Characteristic Quantities of SOSUS Models\u003c\/i\u003e 368\u003c\/p\u003e \u003cp\u003e\u003ci\u003e7.4.4 Determination of the Model Parameters of SOSUS Models\u003c\/i\u003e 372\u003c\/p\u003e \u003cp\u003e\u003ci\u003e7.4.5 Simulation Models for the COST 207 Channel Models\u003c\/i\u003e 376\u003c\/p\u003e \u003cp\u003e7.5 Methods for Modelling of Given Power Delay Profiles 378\u003c\/p\u003e \u003cp\u003e\u003ci\u003e7.5.1 Problem Description\u003c\/i\u003e 379\u003c\/p\u003e \u003cp\u003e\u003ci\u003e7.5.2 Methods for the Computation of the Discrete Propagation Delays and\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003ethe Path Gains\u003c\/i\u003e 381\u003c\/p\u003e \u003cp\u003e\u003ci\u003e7.5.3 Comparison of the Parameter Computation Methods\u003c\/i\u003e 391\u003c\/p\u003e \u003cp\u003e\u003ci\u003e7.5.4 Applications to Measured Power Delay Profiles\u003c\/i\u003e 393\u003c\/p\u003e \u003cp\u003e7.6 Perfect Modelling and Simulation of Measured Wideband Mobile Radio\u003c\/p\u003e \u003cp\u003eChannels 396\u003c\/p\u003e \u003cp\u003e\u003ci\u003e7.6.1 The Sum-of-Cisoids Uncorrelated Scattering (SOCUS) Model\u003c\/i\u003e 396\u003c\/p\u003e \u003cp\u003e\u003ci\u003e7.6.2 The Principle of Perfect Channel Modelling\u003c\/i\u003e 403\u003c\/p\u003e \u003cp\u003e\u003ci\u003e7.6.3 Application to a Measured Wideband Indoor Channel\u003c\/i\u003e 404\u003c\/p\u003e \u003cp\u003e7.7 Further Reading 406\u003c\/p\u003e \u003cp\u003eAppendix 7.A Specification of the \u003ci\u003eL\u003c\/i\u003e-Path COST 207 Channel Models 409\u003c\/p\u003e \u003cp\u003eAppendix 7.B Specification of the \u003ci\u003eL\u003c\/i\u003e-Path HIPERLAN\/2 Channel Models 413\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 MIMO Channel Models 417\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 The Generalized Principle of Deterministic Channel Modelling 418\u003c\/p\u003e \u003cp\u003e8.2 The One-Ring MIMO Channel Model 421\u003c\/p\u003e \u003cp\u003e\u003ci\u003e8.2.1 The Geometrical One-Ring Scattering Model\u003c\/i\u003e 422\u003c\/p\u003e \u003cp\u003e\u003ci\u003e8.2.2 The Reference Model for the One-Ring MIMO Channel Model\u003c\/i\u003e 423\u003c\/p\u003e \u003cp\u003e\u003ci\u003e8.2.3 Simulation Models for the One-Ring MIMO Channel Model\u003c\/i\u003e 429\u003c\/p\u003e \u003cp\u003e\u003ci\u003e8.2.4 Parameter Computation Methods\u003c\/i\u003e 433\u003c\/p\u003e \u003cp\u003e\u003ci\u003e8.2.5 Performance Evaluation\u003c\/i\u003e 434\u003c\/p\u003e \u003cp\u003e\u003ci\u003e8.2.6 Simulation Results\u003c\/i\u003e 436\u003c\/p\u003e \u003cp\u003e8.3 The Two-Ring MIMO Channel Model 438\u003c\/p\u003e \u003cp\u003e\u003ci\u003e8.3.1 The Geometrical Two-Ring Scattering Model\u003c\/i\u003e 439\u003c\/p\u003e \u003cp\u003e\u003ci\u003e8.3.2 The Reference Model for the Two-Ring MIMO Channel Model\u003c\/i\u003e 440\u003c\/p\u003e \u003cp\u003e\u003ci\u003e8.3.3 Simulation Models for the Two-Ring MIMO Channel Model\u003c\/i\u003e 445\u003c\/p\u003e \u003cp\u003e\u003ci\u003e8.3.4 Isotropic and Non-Isotropic Scattering Scenarios\u003c\/i\u003e 449\u003c\/p\u003e \u003cp\u003e\u003ci\u003e8.3.5 Parameter Computation Methods\u003c\/i\u003e 451\u003c\/p\u003e \u003cp\u003e8.4 The Elliptical MIMO Channel Model 457\u003c\/p\u003e \u003cp\u003e\u003ci\u003e8.4.1 The Geometrical Elliptical Scattering Model\u003c\/i\u003e 458\u003c\/p\u003e \u003cp\u003e\u003ci\u003e8.4.2 The Reference Model for the Elliptical MIMO Channel Model\u003c\/i\u003e 459\u003c\/p\u003e \u003cp\u003e\u003ci\u003e8.4.3 Simulation Models for the Elliptical MIMO Channel Model\u003c\/i\u003e 463\u003c\/p\u003e \u003cp\u003e\u003ci\u003e8.4.4 Model Extensions\u003c\/i\u003e 466\u003c\/p\u003e \u003cp\u003e8.5 Further Reading 469\u003c\/p\u003e \u003cp\u003eAppendix 8.A Proof of Ergodicity 472\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 High-Speed Channel Simulators 475\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Discrete-Time Deterministic Processes 476\u003c\/p\u003e \u003cp\u003e9.2 Realization of Discrete-Time Deterministic Processes 478\u003c\/p\u003e \u003cp\u003e\u003ci\u003e9.2.1 Look-Up Table System\u003c\/i\u003e 478\u003c\/p\u003e \u003cp\u003e\u003ci\u003e9.2.2 Matrix System\u003c\/i\u003e 481\u003c\/p\u003e \u003cp\u003e\u003ci\u003e9.2.3 Shift Register System\u003c\/i\u003e 483\u003c\/p\u003e \u003cp\u003e9.3 Properties of Discrete-Time Deterministic Processes 484\u003c\/p\u003e \u003cp\u003e\u003ci\u003e9.3.1 Elementary Properties of Discrete-Time Deterministic Processes\u003c\/i\u003e 484\u003c\/p\u003e \u003cp\u003e\u003ci\u003e9.3.2 Statistical Properties of Discrete-Time Deterministic Processes\u003c\/i\u003e 491\u003c\/p\u003e \u003cp\u003e9.4 Realization Complexity and Simulation Speed 500\u003c\/p\u003e \u003cp\u003e9.5 Comparison of the Sum-of-Sinusoids Method with the Filter Method 502\u003c\/p\u003e \u003cp\u003e9.6 Further Reading 505\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Selected Topics in Mobile Radio Channel Modelling 507\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Design of Multiple Uncorrelated Rayleigh Fading Waveforms 507\u003c\/p\u003e \u003cp\u003e\u003ci\u003e10.1.1 Problem Description\u003c\/i\u003e 508\u003c\/p\u003e \u003cp\u003e\u003ci\u003e10.1.2 Generalized Method of Exact Doppler Spread (GMEDSq)\u003c\/i\u003e 511\u003c\/p\u003e \u003cp\u003e\u003ci\u003e10.1.3 Related Parameter Computation Methods\u003c\/i\u003e 516\u003c\/p\u003e \u003cp\u003e\u003ci\u003e10.1.4 The Effect of Finite Simulation Time on the Cross-Correlation\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eProperties\u003c\/i\u003e 518\u003c\/p\u003e \u003cp\u003e\u003ci\u003e10.1.5 Further Reading\u003c\/i\u003e 520\u003c\/p\u003e \u003cp\u003e10.2 Spatial Channel Models for Shadow Fading 521\u003c\/p\u003e \u003cp\u003e\u003ci\u003e10.2.1 The Reference Model for Shadow Fading\u003c\/i\u003e 522\u003c\/p\u003e \u003cp\u003e\u003ci\u003e10.2.2 The Simulation Model for Shadow Fading\u003c\/i\u003e 523\u003c\/p\u003e \u003cp\u003e\u003ci\u003e10.2.3 Correlation Models for Shadow Fading\u003c\/i\u003e 527\u003c\/p\u003e \u003cp\u003e\u003ci\u003e10.2.4 Further Reading\u003c\/i\u003e 535\u003c\/p\u003e \u003cp\u003e10.3 Frequency Hopping Mobile Radio Channels 536\u003c\/p\u003e \u003cp\u003e\u003ci\u003e10.3.1 The Reference Model for Frequency Hopping Channels\u003c\/i\u003e 536\u003c\/p\u003e \u003cp\u003e\u003ci\u003e10.3.2 The Simulation Model for Frequency Hopping Channels\u003c\/i\u003e 538\u003c\/p\u003e \u003cp\u003e\u003ci\u003e10.3.3 Performance Analysis\u003c\/i\u003e 540\u003c\/p\u003e \u003cp\u003e\u003ci\u003e10.3.4 Simulation Results\u003c\/i\u003e 544\u003c\/p\u003e \u003cp\u003e\u003ci\u003e10.3.5 Further Reading\u003c\/i\u003e 544\u003c\/p\u003e \u003cp\u003eAppendix 10.A Derivation of the Spatial Autocorrelation Function of Lognormal\u003c\/p\u003e \u003cp\u003eProcesses 545\u003c\/p\u003e \u003cp\u003eAppendix 10.B Derivation of the Level-Crossing Rate of Spatial Lognormal\u003c\/p\u003e \u003cp\u003eProcesses 546\u003c\/p\u003e \u003cp\u003eAppendix 10.C Derivation of the Level-Crossing Rate of Sum-of-Sinusoids\u003c\/p\u003e \u003cp\u003eShadowing Simulators 546\u003c\/p\u003e \u003cp\u003eAppendix 10.D Application of the Method of Equal Areas (MEA) on the\u003c\/p\u003e \u003cp\u003eGudmundson Correlation Model 548\u003c\/p\u003e \u003cp\u003eAppendix 10.E Derivation of the Time-Frequency Cross-Correlation Function of\u003c\/p\u003e \u003cp\u003eFrequency Hopping Channels 549\u003c\/p\u003e \u003cp\u003eAppendix 10.F Parametrization of Frequency Hopping Channel Simulators 551\u003c\/p\u003e \u003cp\u003e\u003cb\u003eReferences 553\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex 571\u003c\/b\u003e\u003c\/p\u003e  \u003cb\u003eMatthias Pätzold\u003c\/b\u003e was born in Engelsbach, Germany, in 1958. He received the Dipl.-Ing. and Dr.-Ing. degrees in electrical engineering from Ruhr-University Bochum, Bochum, Germany, in 1985 and 1989, respectively, and the habil. degree in communications engineering from the Technical University of Hamburg-Harburg, Hamburg, Germany, in 1998.  \u003cp\u003eFrom 1990 to 1992, he was with ANT Nachrichtentechnik GmbH, Backnang, Germany, where he was engaged in digital satellite communications. From 1992 to 2001, he was with the Department of Digital Networks at the Technical University Hamburg-Harburg. Since 2001, he has been a full professor of mobile communications with the University of Agder, Grimstad, Norway. He is author of the books “Mobile Radio Channels - Modelling, Analysis, and Simulation” (in German) (Wiesbaden, Germany: Vieweg, 1999) and “Mobile Fading Channels” (John Wiley \u0026amp; Sons, 2002) and “Mobile Radio Channels, 2nd Edition” (John Wiley \u0026amp; Sons, 2011). His current research interests include mobile radio communications, especially multipath fading channel modelling, multiple-input multiple-output (MIMO) systems, channel parameter estimation, and coded-modulation techniques for fading channels.\u003c\/p\u003e Providing a comprehensive overview of the modelling, analysis and simulation of mobile radio channels, this book gives a detailed understanding of fundamental issues and examines state-of-the-art techniques in mobile radio channel modelling. It analyses several mobile fading channels, including terrestrial and satellite flat-fading channels, various types of wideband channels and advanced MIMO channels, providing a fundamental understanding of the issues currently being investigated in the field. \u003cp\u003eImportant classes of narrowband, wideband, and space-time wireless channels are explored in detail with descriptions of efficient simulation methods for mobile radio channels being central. Strong emphasis is placed on the detailed origin of the presented channel models and a high degree of mathematical unity is conveyed. Using the described channel models, the reader can evaluate the performance of wireless communication systems under propagation conditions which are typical for multipath channels in various environments.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eIntroduces the fundamentals of stochastic and deterministic channel models\u003c\/li\u003e \u003cli\u003eExplores the modelling and simulation of both wideband and narrowband mobile radio channels as well as several classes of MIMO channels\u003c\/li\u003e \u003cli\u003eDescribes general concepts including geometrical, reference and simulation models\u003c\/li\u003e \u003cli\u003eDiscusses several methods for the modelling of given Doppler, delay, and angular profiles\u003c\/li\u003e \u003cli\u003eElaborates on methods for the design, analysis, and realisation of efficient channel simulators\u003c\/li\u003e \u003cli\u003eExamines techniques for the development of fast channel simulators\u003c\/li\u003e \u003cli\u003eProvides links for downloading MATLAB\u003csup\u003e®\u003c\/sup\u003e, programs enabling the simulation and analysis of the mobile fading channels models presented, on the companion website http:\/\/www.wiley.com\/go\/paetzold\u003c\/li\u003e \u003c\/ul\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989633843429,"sku":"NP9780470517475","price":169.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470517475.jpg?v=1761784894","url":"https:\/\/k12savings.com\/products\/mobile-radio-channels-isbn-9780470517475","provider":"K12savings","version":"1.0","type":"link"}