One of the most promising technologies to resolve the bottlenecks in traffic capacity of future wireless networks is multiple-input multiple-output (MIMO) communications and space-time processing. MIMO wireless technology has progressed from the stage of fundamental research to commercially available products within a decade. With over sixty contributors from the field, this book provides an extensive overview of the state-of-the-art in MIMO communications, ranging from its roots in antenna array processing to advanced cellular communication systems. A balanced treatment of three key areas---information theory, algorithms and systems studies, and implementation issues---has been assembled by four editors with a broad range of academic and industry experience. This comprehensive reference will appeal to practitioners, researchers, and graduate students in wireless communications.
This is a comprehensive reference for readers wanting to learn about the entire range of relevant aspects in wireless communications.
Muu info
This is a comprehensive reference for readers wanting to learn about the entire range of relevant aspects in wireless communications.
Dedication |
|
v | |
|
|
xv | |
Acknowledgments |
|
xix | |
Introduction |
|
xxi | |
|
Part I Multiantenna basics |
|
|
|
Propagation aspects of MIMO channel modeling |
|
|
3 | (20) |
|
|
|
23 | (21) |
|
|
Diversity in wireless systems |
|
|
44 | (22) |
|
|
|
Fundamentals of MIMO channel capacity |
|
|
66 | (21) |
|
|
|
Multiantenna capacity: myths and realities |
|
|
87 | (21) |
|
|
|
|
The role of feedback, CSI, and coherence in MIMO systems |
|
|
108 | (25) |
|
|
|
|
Part II Space-time modulation and coding |
|
|
|
Introduction to space-time codes |
|
|
133 | (21) |
|
|
|
Perspectives on the diversity-multiplexing trade-off in MIMO systems |
|
|
154 | (24) |
|
|
|
|
Linear precoding for MIMO channels |
|
|
178 | (20) |
|
|
|
Space-time coding for noncoherent channels |
|
|
198 | (20) |
|
|
|
Space-time coding for time- and frequency-selective MIMO channels |
|
|
218 | (23) |
|
|
|
Part III Receiver algorithms and parameter estimation |
|
|
|
|
241 | (20) |
|
|
Optimal subspace techniques for DOA estimation |
|
|
261 | (18) |
|
|
|
|
|
Blind and semiblind MIMO channel estimation |
|
|
279 | (23) |
|
|
|
|
302 | (20) |
|
|
|
|
|
322 | (20) |
|
|
Training for MIMO communications |
|
|
342 | (23) |
|
|
|
|
|
Part IV System-level issues of multiantenna systems |
|
|
|
MIMO Gaussian multiple access channels |
|
|
365 | (20) |
|
|
|
|
On information-theoretic aspects of MIMO broadcast channels |
|
|
385 | (21) |
|
|
|
|
|
|
406 | (20) |
|
|
|
|
Opportunistic communication: a system view |
|
|
426 | (17) |
|
|
System level performance of MIMO systems |
|
|
443 | (24) |
|
|
|
|
Part V Implementations, measurements, prototypes, and standards |
|
|
|
What we can learn from multiantenna measurements |
|
|
467 | (20) |
|
|
|
Experiments in space-time modulation and demodulation |
|
|
487 | (22) |
|
|
|
|
|
|
Multiple antenna techniques in 3G wireless systems |
|
|
509 | (22) |
|
|
|
MIMO wireless local area networks |
|
|
531 | (23) |
|
|
|
|
|
|
VLSI implementation of MIMO detection |
|
|
554 | (21) |
|
|
Index |
|
575 | |
Helmut Bölcskei is an Assistant Professor of Communication Theory at ETH Zurich, Switzerland. David Gesbert is an Associate Professor with the Department of Mobile Communications, Eurecom Institute, France. Constantinos B. Papadias is a Technical Manager in Lucent Technologies' Bell Labs Wireless and Broadband Access Networks research center. He is currently on leave from Lucent as an Associate Professor at Athens Information Technology (AIT) in Athens, Greece. Alle-Jan van der Veen is a Professor in the Circuits and Systems Group at TU Delft, The Netherlands.