{"product_id":"mobile-radio-channels-9780470517475","title":"Mobile Radio Channels","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eBuilding 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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\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","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49525378023767,"sku":"9780470517475","price":121.55,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780470517475.jpg?v=1731860285","url":"https:\/\/bookcurl.com\/products\/mobile-radio-channels-9780470517475","provider":"Book Curl","version":"1.0","type":"link"}