| Description |
1 online resource (273 pages) |
| Contents |
Wireless Multi-Antenna Channels; Contents; About the Series Editors; 1 Introduction; 1.1 General remarks; 1.2 Signals, interference, and types of parallel channels; 2 Four-parametric model of a SISO channel; 2.1 Multipath propagation; 2.2 Random walk approach to modeling of scattering field; 2.2.1 Random walk in two dimensions as a model for scattering field; 2.2.2 Phase distribution and scattering strength; 2.2.3 Distribution of intensity; 2.2.4 Distribution of the random phase; 2.3 Gaussian case; 2.3.1 Four-parametric distribution family; 2.3.2 Distribution of the magnitude |
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2.3.3 Distribution of the phase2.3.4 Moment generating function, moments and cumulants of four-parametric distribution; 2.3.5 Some aspects of multiple scattering propagation; 3 Models of MIMO channels; 3.1 General classification of MIMO channel models; 3.2 Physical models; 3.2.1 Deterministic models; 3.2.2 Geometry-based stochastic models; 3.3 Analytical models; 3.3.1 Channel matrix model; 3.4 Geometrical phenomenological models; 3.4.1 Scattering from rough surfaces; 3.5 On the role of trigonometric polynomials in analysis and simulation of MIMO channels; 3.5.1 Measures of dependency |
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3.5.2 Non-negative trigonometric polynomials and their use in estimation of AoD and AoA distribution3.5.3 Approximation of marginal PDF using non-negative polynomials; 3.6 Canonical expansions of bivariate distributions and the structure MIMO channel covariance matrix; 3.6.1 Canonical variables and expansion; 3.6.2 General structure of the full covariance matrix; 3.6.3 Relationship to other models; 3.7 Bivariate von Mises distribution with correlated transmit and receive sides; 3.7.1 Single cluster scenario; 3.7.2 Multiple clusters scenario; 3.8 Bivariate uniform distributions |
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3.8.1 Harmonic coupling3.8.2 Markov-type bivariate density; 3.9 Analytical expression for the diversity measure of an antenna array; 3.9.1 Relation of the shape of the spatial covariance function to trigonometric moments; 3.9.2 Approximation of the diversity measure for a large number of antennas; 3.9.3 Examples; 3.9.4 Leading term analysis of degrees of freedom; 3.10 Effect of AoA/AoD dependency on the SDoF; 3.11 Space-time covariance function; 3.11.1 Basic equation; 3.11.2 Approximations; 3.12 Examples: synthetic data and uniform linear array |
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3.13 Approximation of a matrix by a Toeplitz matrix3.14 Asymptotic expansions of diversity measure; 3.15 Distributed scattering model; 4 Modeling of wideband multiple channels; 4.1 Standard models of channels; 4.1.1 COST 259/273; 4.1.2 3GPP SCM; 4.1.3 WINNER channel models; 4.2 MDPSS based wideband channel simulator; 4.2.1 Geometry of the problem; 4.2.2 Statistical description; 4.2.3 Multi-cluster environment; 4.2.4 Simulation of dynamically changing environment; 4.3 Measurement based simulator; 4.4 Examples; 4.4.1 Two cluster model |
| Summary |
This book offers a practical guide on how to use and apply channel models for system evaluationIn this book, the authors focus on modeling and simulation of multiple antennas channels, including multiple input multiple output (MIMO) communication channels, and the impact of such models on channel estimation and system performance. Both narrowband and wideband models are addressed. Furthermore, the book covers topics related to modeling of MIMO channel, their numerical simulation, estimation and prediction, as well as applications to receive diversity, capacity and space-time coding techniques |
| Notes |
4.4.2 Environment specified by joint AoA/AoD/ToA distribution |
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Print version record |
| Subject |
Roaming (Telecommunication) -- Mathematical models
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MIMO systems -- Mathematical models
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Antenna radiation patterns -- Mathematical models
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Antenna arrays -- Mathematical models
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Adaptive antennas -- Mathematical models
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Antenna arrays -- Mathematical models
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Antenna radiation patterns -- Mathematical models
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| Form |
Electronic book
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| Author |
Kontorovich, Valeri
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| ISBN |
9781119954712 |
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1119954711 |
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