MIMO Wireless Communications : From Real-World Propagation to Space-Time Code Design
By: Oestges, Claude.
Contributor(s): Clerckx, Bruno.Material type: TextSeries: eBooks on Demand.Publisher: Burlington : Elsevier Science, 2010Description: 1 online resource (477 p.).ISBN: 9780080549989.Subject(s): Multi-antenna communications | Wireless channels | Wireless communication systems | Wireless communication systemsGenre/Form: Electronic books.Additional physical formats: Print version:: MIMO Wireless Communications : From Real-World Propagation to Space-Time Code DesignDDC classification: 621.384 LOC classification: TK5103.2Online resources: Click here to view this ebook.
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|Electronic Book||UT Tyler Online Online||TK5103.2 (Browse shelf)||http://uttyler.eblib.com/patron/FullRecord.aspx?p=307122||Available||EBL307122|
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|TK5102 .G75 2006eb Developing Practical Wireless Applications.||TK5103.15 .Z45 2012 Numerical Differential Protection.||TK5103.2 Wireless communications /||TK5103.2 MIMO Wireless Communications :||TK5103.2 Performance Analysis and Optimization of Multi-Traffic on Communication Networks.||TK5103.2 Coping with Interference in Wireless Networks.||TK5103.2 Sharing RF Spectrum with Commodity Wireless Technologies.|
Front Cover; MIMO Wireless Communications; Copyright Page; Contents; List of Figures; List of Tables; Preface; List of Abbreviations; List of Symbols; About the Authors; Chapter 1 Introduction to multi-antenna communications; 1.1 Brief history of array processing; 1.2 Space-time wireless channels for multi-antenna systems; 1.3 Exploiting multiple antennas in wireless systems; 1.3.1 Diversity techniques; 1.3.2 Multiplexing capability; 1.4 Single-input multiple-output systems; 1.4.1 Receive diversity via selection combining; 1.4.2 Receive diversity via gain combining
1.4.3 Receive diversity via hybrid selection/gain combining1.5 Multiple-input single-output systems; 1.5.1 Switched multibeam antennas; 1.5.2 Transmit diversity via matched beamforming; 1.5.3 Null-steering and optimal beamforming; 1.5.4 Transmit diversity via space-time coding; 1.5.5 Indirect transmit diversity; 1.6 Multiple-input multiple-output systems; 1.6.1 MIMO with perfect transmit channel knowledge; 1.6.2 MIMO without transmit channel knowledge; 1.6.3 MIMO with partial transmit channel knowledge; 1.7 Multiple antenna techniques in commercial wireless systems
Chapter 2 Physical MIMO channel modeling2.1 Multidimensional channel modeling; 2.1.1 The double-directional channel impulse response; 2.1.2 Multidimensional correlation functions and stationarity; 2.1.3 Channel fading, K-factor and Doppler spectrum; 2.1.4 Power delay and direction spectra; 2.1.5 From double-directional propagation to MIMO channels; 2.1.6 Statistical properties of the channel matrix; 2.1.7 Discrete channel modeling: sampling theorem revisited; 2.1.8 Physical versus analytical models; 2.2 Electromagnetic models; 2.2.1 Ray-based deterministic methods
2.2.2 Multi-polarized channels2.3 Geometry-based models; 2.3.1 One-ring model; 2.3.2 Two-ring model; 2.3.3 Combined elliptical-ring model; 2.3.4 Elliptical and circular models; 2.3.5 Extension of geometry-based models to dual-polarized channels; 2.4 Empirical models; 2.4.1 Extended Saleh-Valenzuela model; 2.4.2 Stanford University Interim channel models; 2.4.3 COST models; 2.5 Standardized models; 2.5.1 IEEE 802.11 TGn models; 2.5.2 IEEE 802.16d/e models; 2.5.3 3GPP/3GPP2 spatial channel models; 2.6 Antennas in MIMO systems; 2.6.1 About antenna arrays; 2.6.2 Mutual coupling
Chapter 3 Analytical MIMO channel representations for system design3.1 General representations of correlated MIMO channels; 3.1.1 Rayleigh fading channels; 3.1.2 Ricean fading channels; 3.1.3 Dual-polarized channels; 3.1.4 Double-Rayleigh fading model for keyhole channels; 3.2 Simplified representations of Gaussian MIMO channels; 3.2.1 The Kronecker model; 3.2.2 Virtual channel representation; 3.2.3 The eigenbeam model; 3.3 Propagation-motivated MIMO metrics; 3.3.1 Comparing models and correlation matrices; 3.3.2 Characterizing the multipath richness
3.3.3 Measuring the non-stationarity of MIMO channels
Uniquely, this book proposes robust space-time code designs for real-world wireless channels. Through a unified framework, it emphasizes how propagation mechanisms such as space-time frequency correlations and coherent components impact the MIMO system performance under realistic power constraints. Combining a solid mathematical analysis with a physical and intuitive approach to space-time coding, the book progressively derives innovative designs, taking into consideration that MIMO channels are often far from ideal.The various chapters of this book provide an essential, complete and r
Description based upon print version of record.