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Gershman, Alex

Space-Time Processing for MIMO Communications

€ 189.95

Driven by the desire to boost the quality of service of wireless systems closer to that afforded by wireline systems, space time processing for multiple input multiple output (MIMO) wireless communications research has drawn remarkable interest in recent years.

Taal / Language : English

List of Contributors.
1  MIMO Wireless Channel Modeling and Experimental Characterization (M. A. Jensen and J. W. Wallace).
1.1  Introduction.
1.2  MIMO Channel Measurement.
1.3  MIMO Channel Models.
1.4  The Impact of Antennas onMIMO Performance.
2   Multidimensional Harmonic Retrieval with Applications in MIMO Wireless Channel Sounding  (X. Liu, N. D. Sidiropoulos, and T. Jiang).
2.1  Introduction.
2.2  Harmonic Retrieval Data Model.
2.3  Identifiability of Multidimensional Harmonic Retrieval.
2.4  Multidimensional Harmonic Retrieval Algorithms.
2.5  Numerical Examples.
2.6  Multidimensional Harmonic Retrieval for MIMO Channel. Estimation.
2.7  Concluding Remarks.
2.8  Acknowledgments.
3   Certain Computations Involving Complex Gaussian Matrices with Applications to the Performance Analysis of MIMO Systems. (M. Kang, L. Yang, and M.-S. Alouini).
3.1  Introduction.
3.2  Performance Measures of Multiple Antenna Systems.
3.3  SomeMathematical Preliminaries.
3.4  General Calculations with MIMO Applications.
3.5  Summary.
4   Recent Advances in Orthogonal Space-Time Block Coding (M. Gharavi-Alkhansari, A. B. Gershman, and S. Shahbazpanahi).
4.1  Introduction.
4.2  Mathematical Preliminaries.
4.3  MIMO System Model and OSTBC Background.
4.4  Constellation Space Invariance and Equivalent Array-processing-type MIMO Model.
4.5  CoherentML Decoding.
4.6  Exact Symbol Error Probability Analysis of Coherent ML Decoder.
4.7  Optimality Properties of OSTBCs.
4.8  Blind Decoding of OSTBCs.
4.9  Multiaccess MIMO Receivers for OSTBCs.
4.10 Conclusions.
5  Trace-Orthogonal Full Diversity Cyclotomic Space-Time Codes (J.-K. Zhang, J. Liu, and K. M. Wong).
5.1  Introduction.
5.2  Channel Model with Linear Dispersion Codes.
5.3  Good Structures for LD Codes: Trace orthogonality.
5.4  Trace-orthogonal LD Codes.
5.5  Construction of Trace Orthogonal LD Codes.
5.6  Design of Full Diversity LD Codes.
5.7  Design of Full Diversity Linear Space-time Block Codes for N <M .
5.8  Design Examples and Simulations.
5.9  Conclusion.
6   Linear and Dirty-Paper Techniques for the Multiuser MIMO Downlink.  (C. B. Peel, Q. H. Spencer, A. L. Swindlehurst, M. Haardt, and B. M. Hochwald).
6.1  Introduction.
6.2  Background and Notation.
6.3  Single Antenna Receivers.
6.4  Multiple Antenna Receivers.
6.5  Open Problems.
6.6  Summary.
7   Antenna Subset Selection in MIMO Communication Systems (A. Gorokhov, D. A. Gore, and A. J. Paulraj).
7.1  Introduction.
7.2  SIMO/MISO Selection.
7.3  MIMO Selection.
7.4  Diversity and Multiplexing With MIMO Antenna Selection.
7.5  Receive Antenna Selection Algorithms.
7.6  Antenna Selection in MIMO Wireless LAN Systems.
7.7  Summary.
8   Convex Optimization Theory Applied to Joint Transmitter-Receiver Design in MIMO Channels  (D. P´erez Palomar, A. Pascual-Iserte, J. M. Cioffi, and M. Angel Lagunas).
8.1  Introduction.
8.2  Convex Optimization Theory.
8.3  SystemModel and Preliminaries.
8.4  Beamforming Design for MIMO Channels: A Convex Optimization Approach.
8.5  An Application to Robust Transmitter Design in MIMO Channels.
8.6  Summary.
9   MIMO Communications with Partial Channel State Information (S. Zhou and G. B. Giannakis).
9.1  Introduction.
9.2  Partial CSIModels.
9.3  Capacity-optimal Designs.
9.4  Error Performance Oriented Designs.
9.5  Adaptive Modulation with Partial CSI.
9.6  Conclusions.
Extra informatie: 
388 pagina's
Januari 2005
862 gram
241 x 165 x 25 mm
Wiley-Blackwell us

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