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Searching... | 30000010128852 | TK5102.92 S62 2007 | Open Access Book | Book | Searching... |
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Summary
Summary
This is the first book on space-time coding for wireless communications, one of the most promising techniques for ensuring bandwidth efficiency. The text describes theoretical principles as well as engineering applications; discusses key criteria in the design of practical space-time codes; and covers single-carrier and multi-carrier transmission for both single- and multi-user communications.
Author Notes
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.
Table of Contents
| 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 |
| 1.3.1 Delay Spread and Coherence Bandwidth |
| 1.3.2 Doppler Spread and Coherence Time |
| 1.4 Providing, Enabling and Collecting Diversity |
| 1.4.1 Diversity Provided by Frequency-Selective Channels |
| 1.4.2 Diversity Provided by Time-Selective Channels |
| 1.4.3 Diversity Provided by Multi-Antenna Channels |
| 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 |
| 2.3.1 Outage Capacity |
| 2.3.2 Ergodic Capacity |
| 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 |
| 3.2.1 Trellis Representation |
| 3.2.2 TSC ST |
| Trellis Codes |
| 3.2.3 BBH ST |
| Trellis Codes |
| 3.2.4 GFK ST |
| Trellis Codes |
| 3.2.5 Viterbi Decoding of ST Trellis Codes |
| 3.3 Orthogonal ST Block Codes |
| 3.3.1 Encoding of OSTBCs |
| 3.3.2 Linear ML Decoding of OSTBCs |
| 3.3.3 BER Performance with OSTBCs |
| 3.3.4 Channel Capacity with OSTBCs |
| 3.4 Quasi-Orthogonal ST Block Codes |
| 3.5 ST Linear Complex Field Codes |
| 3.5.1 Antenna Switching and Linear Precoding |
| 3.5.2 Designing Linear Precoding Matrices |
| 3.5.3 Upper-Bound on Coding Gain |
| 3.5.4 Construction based on Parameterization |
| 3.5.5 Construction Based on Algebraic Tools |
| 3.5.6 Decoding ST Linear Complex Field Codes |
| 3.5.7 Modulus-Preserving STLCFC |
| 3.6 Linking OSTBC, QO-STBC and STLCFC Designs |
| 3.6.1 Embedding MP-STLCFC into the Alamouti Code |
| 3.6.2 Embedding 2 x 2 MP-STLCFCs into OSTBC |
| 3.6.3 Decoding QO-MP-STLCFC |
| 3.7 Closing Comments |
| 4 Layered ST Codes |
| 4.1 BLAST Designs |
| 4.1.1 D-BLAST |
| 4.1.2 V-BLAST |
| 4.1.3 Rate Performance with BLAST Codes |
| 4.2 ST Codes Trading Diversity for Rate |
| 4.2.1 Layered ST Codes with Antenna-Grouping |
| 4.2.2 Layered High-Rate Codes |
| 4.3 Full-Diversity Full-Rate ST Codes |
| 4.3.1 The FDFR Transceiver |
| 4.3.2 Algebraic FDFR Code Design |
| 4.3.3 Mutual Information Analysis |
| 4.3.4 Diversity-Rate-Performance Trade-offs |
| 4.4 Numerical Examples |
| 4.5 Closing Comments |
| 5 Sphere Decoding and (Near-) Optimal MIMO Demodulation |
| 5.1 Sphere Decoding Algorithm |
| 5.1.1 Selecting a Finite Search Radius |
| 5.1.2 Initializing with Unconstrained LS |
| 5.1.3 Searching within the Fixed-Radius Sphere |
| 5.2 Average Complexity of SDA in Practice |
| 5.3 SDA Improvements |
| 5.3.1 SDA with Detection Ordering and Nulling-Cancelling |
| 5.3.2 Schnorr-Euchner Variate of SDA |
| 5.3.3 SDA with Increasing Radius Search |
| 5.3.4 Simulated Comparisons |
| 5.4 Reduced-Complexity IRS-SDA |
| 5.5 Soft Decision Sphere Decoding |
| 5.5.1 List Sphere Decoding (LSD) |
| 5.5.2 Soft SDA using Hard SDAs |
| 5.6 Closing Comments |
| 6 Non-Coherent and Differential ST Codes for Flat Fading Channels |
| 6.1 Non-Coherent ST Cod |
