Space-Time Coding for Broadband Wireless Comminications
(Sprache: Englisch)
Eine vielversprechende Technologie zur Maximierung der Bandbreiteneffizienz in der breitbandigen drahtlosen Kommunikation ist die Raum-Zeit-Kodierung. Theorie und Praxis verbindend, ist dieses Buch die erste umfassende Diskussion von Grundlagen und...
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Eine vielversprechende Technologie zur Maximierung der Bandbreiteneffizienz in der breitbandigen drahtlosen Kommunikation ist die Raum-Zeit-Kodierung. Theorie und Praxis verbindend, ist dieses Buch die erste umfassende Diskussion von Grundlagen und designorientierten Aspekten von Raum-Zeit-Codes. Single-Carrier und Multi-Carrier-Übertragungen für Einzel- und Mehrnutzerkommunikation werden behandelt.
Klappentext zu „Space-Time Coding for Broadband Wireless Comminications “
The state of the art in space-time code designThis cutting-edge text presents the state of the art in space-time (ST) coded multi-antenna systems operating over broadband wireless mobile channels, including an analysis of the most recent research findings. Specifically, the authors focus on the algorithms and performance analysis of ST coded systems at the physical layer.
This text is a complement to previously published works covering ST coded multi-antenna systems and offers several unique features and benefits:
* Systematic coverage of one of the most promising techniques that will support the next generation of broadband multimedia services
* Unified and comprehensive exposition on the design of ST codes, which places all the latest research in context
* Thorough designs of ST codes for the gamut of frequency-selective, time-selective, and doubly-selective MIMO channels that are encountered with broadband wireless mobile links, in addition to ST codes for flat fading MIMO channels
* Recent advances in complex field coded transmissions, sphere decoding algorithms, closed-loop ST coded systems, operation in the presence of colored interference, and multi-user, multi-antenna systems
* Development and analysis of novel algorithms and techniques that have arisen from recent research
Numerical and simulated examples are given for most of the algorithms presented in the text to help readers better visualize and understand how they work. In addition, the authors provide background information on wireless communications basics, diversity techniques, and capacity of MIMO channels, giving readers the necessary foundation to grasp all the key concepts and techniques presentedin the text.
This text will not only bring engineers, network designers, and graduate students in wireless communications up to date with the latest findings, it will also provide them with the latest applications.
Inhaltsverzeichnis zu „Space-Time Coding for Broadband Wireless Comminications “
Acknowledgments.Preface.
Acronyms.
1. Motivation and Context.
1.1 Evolution of Wireless Communication Systems.
1.2 Wireless Propagation Effects.
1.3 Parameters and Classification of Wireless Channels.
1.4 Providing, Enabling and Collecting Diversity.
1.5 Chapter-by-Chapter Organization.
2. Fundamentals of ST Wireless Communications.
2.1 Generic ST System Model.
2.2 ST Coding viz Channel Coding.
2.3 Capacity of ST Channels.
2.4 Error Performance of ST Coding.
2.5 Design Criteria for ST Codes.
2.6 Diversity and Rate: Finite SNR viz Asymptotics.
2.7 Classification of ST Codes.
2.8 Closing Comments.
3. Coherent ST Codes for Flat Fading Channels.
3.1 Delay Diversity ST Codes.
3.2 ST Trellis Codes.
3.3 Orthogonal ST Block Codes.
3.4 Quasi-Orthogonal ST Block Codes.
3.5 ST Linear Complex Field Codes.
3.6 Linking OSTBC, QO-STBC and STLCFC Designs.
3.7 Closing Comments.
4. Layered ST Codes.
4.1 BLAST Designs.
4.2 ST Codes Trading Diversity for Rate.
4.3 Full-Diversity Full-Rate ST Codes.
4.4 Numerical Examples.
4.5 Closing Comments.
5. Sphere Decoding and (Near-) Optimal MIMO Demodulation.
5.1 Sphere Decoding Algorithm.
5.2 Average Complexity of SDA in Practice.
5.3 SDA Improvements.
5.4 Reduced-Complexity IRS-SDA.
5.5 Soft Decision Sphere Decoding.
5.6 Closing Comments.
6. Non-Coherent and Differential ST Codes for Flat Fading Channels.
6.1 Non-Coherent ST Codes.
6.2 Differential ST Codes.
6.3 Closing Comments.
7. ST Codes for Frequency-Selective Fading Channels: Single-Carrier Systems.
7.1 System Model and Performance Limits.
7.2 ST Trellis Codes.
7.3 ST Block Codes.
7.4 Closing Comments.
8. ST Codes for Frequency-Selective Fading Channels: Multi-Carrier Systems.
8.1 The General MIMO OFDM Framework.
8.2 ST and SF Coded MIMO OFDM.
8.3 STF Coded OFDM.
8.4 Digital Phase Sweeping and Block Circular Delay.
8.5 Full-Diversity Full-Rate MIMO OFDM.
8.6 Closing Comments.
9. ST Codes for Time-Varying
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Channels.
9.1 Time-Varying Channels.
9.2 Space-Time-Doppler Block Codes.
9.3 Space-Time-Doppler FDFR Codes.
9.4 Space-Time-Doppler Trellis Codes.
9.5 Numerical Examples.
9.6 Space-Time-Doppler Differential Codes.
9.7 ST Codes for Doubly-Selective Channels.
9.8 Closing Comments.
10. Joint Galois-Field and Linear Complex-Field ST Codes.
10.1 GF-LCF ST Codes.
10.2 GF-LCF ST Layered Codes.
10.3 GF-LCF Coded MIMO OFDM.
10.4 Closing Comments.
11. MIMO Channel Estimation and Synchronization.
11.1 Preamble-Based Channel Estimation.
11.2 Optimal Training-Based Channel Estimation.
11.3 (Semi-)Blind Channel Estimation.
11.4 Joint Symbol Detection and Channel Estimation.
11.5 Carrier Synchronization.
11.6 Closing Comments.
12. ST Codes with Partial Channel Knowledge: Statistical CSI.
12.1 Partial CSI Models.
12.2 ST Spreading.
12.3 Combining OSTBC with Beamforming.
12.4 Numerical Examples.
12.5 Adaptive Modulation for Rate Improvement.
12.6 Optimizing Average Capacity.
12.7 Closing Comments.
13. ST Codes With Partial Channel Knowledge: Finite-Rate CSI.
13.1 General Problem Formulation.
13.2 Finite-Rate Beamforming.
13.3 Finite-Rate Precoded Spatial Multiplexing.
13.4 Finite-Rate Precoded OSTBC.
13.5 Capacity Optimization with Finite-Rate Feedback.
13.6 Combining Adaptive Modulation with Beamforming.
13.7 Finite-rate Feedback in MIMO OFDM.
13.8 Closing Comments.
14. ST Codes in the Presence of Interference.
14.1 ST Spreading.
14.2 Combining STS with OSTBC.
14.3 Optimal Training with Interference.
14.4 Numerical Examples.
14.5 Closing Comments.
15. ST Codes for Orthogonal Multiple Access.
15.1 System Model.
15.2 Single-Carrier Systems: STBC-CIBS-CDMA.
15.3 Multi-Carrier Systems: STF-OFDMA.
15.4 Closing Comments.
References.
9.1 Time-Varying Channels.
9.2 Space-Time-Doppler Block Codes.
9.3 Space-Time-Doppler FDFR Codes.
9.4 Space-Time-Doppler Trellis Codes.
9.5 Numerical Examples.
9.6 Space-Time-Doppler Differential Codes.
9.7 ST Codes for Doubly-Selective Channels.
9.8 Closing Comments.
10. Joint Galois-Field and Linear Complex-Field ST Codes.
10.1 GF-LCF ST Codes.
10.2 GF-LCF ST Layered Codes.
10.3 GF-LCF Coded MIMO OFDM.
10.4 Closing Comments.
11. MIMO Channel Estimation and Synchronization.
11.1 Preamble-Based Channel Estimation.
11.2 Optimal Training-Based Channel Estimation.
11.3 (Semi-)Blind Channel Estimation.
11.4 Joint Symbol Detection and Channel Estimation.
11.5 Carrier Synchronization.
11.6 Closing Comments.
12. ST Codes with Partial Channel Knowledge: Statistical CSI.
12.1 Partial CSI Models.
12.2 ST Spreading.
12.3 Combining OSTBC with Beamforming.
12.4 Numerical Examples.
12.5 Adaptive Modulation for Rate Improvement.
12.6 Optimizing Average Capacity.
12.7 Closing Comments.
13. ST Codes With Partial Channel Knowledge: Finite-Rate CSI.
13.1 General Problem Formulation.
13.2 Finite-Rate Beamforming.
13.3 Finite-Rate Precoded Spatial Multiplexing.
13.4 Finite-Rate Precoded OSTBC.
13.5 Capacity Optimization with Finite-Rate Feedback.
13.6 Combining Adaptive Modulation with Beamforming.
13.7 Finite-rate Feedback in MIMO OFDM.
13.8 Closing Comments.
14. ST Codes in the Presence of Interference.
14.1 ST Spreading.
14.2 Combining STS with OSTBC.
14.3 Optimal Training with Interference.
14.4 Numerical Examples.
14.5 Closing Comments.
15. ST Codes for Orthogonal Multiple Access.
15.1 System Model.
15.2 Single-Carrier Systems: STBC-CIBS-CDMA.
15.3 Multi-Carrier Systems: STF-OFDMA.
15.4 Closing Comments.
References.
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Autoren-Porträt von Georgios B. Giannakis, Zhi-Qiang Liu, Xiaoli Ma, Sheng Zhou
GEORGIOS B. GIANNAKIS, PhD, is ADC Endowed Chair Professor in Wireless Telecommunications with the Department of Electrical and Computer Engineering at the University of Minnesota. He is a Fellow of the IEEE, a (co-)recipient of six IEEE best paper awards (including the IEEE Communication Society's 2004 Guglielmo Marconi Prize Paper), and a recipient of the IEEE Signal Processing Society's Technical Achievement Award. His interests and expertise span the areas of wireless communications, wireless networks, sensor networks, and statistical signal processing.ZHIQIANG LIU, PhD, is Assistant Professor with the Department of Electrical and Computer Engineering at the University of Iowa. His research interests include space-time coding and processing, wireless communications theory, synchronization, channel estimation, and sensor networks.
XIAOLI MA, PhD, is Assistant Professor with the School of Electrical and Computer Engineering at the Georgia Institute of Technology. Her research interests include signal processing for communications and networking, signal estimation algorithms, wireless communications theory, and sensor networks.
SHENGLI ZHOU, PhD, is Assistant Professor with the Department of Electrical and Computer Engineering at the University of Connecticut. His research interests include wireless communications and signal processing, underwater acoustic communications and networking, and wireless positioning and synchronization.
Bibliographische Angaben
- Autoren: Georgios B. Giannakis , Zhi-Qiang Liu , Xiaoli Ma , Sheng Zhou
- 2007, 1. Auflage, 488 Seiten, Masse: 16,1 x 24 cm, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 0471214795
- ISBN-13: 9780471214793
- Erscheinungsdatum: 11.12.2006
Sprache:
Englisch
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