Instructor:
Ali Ghrayeb, Concordia University,Canada
Georgios Giannakis, University of Minnesota, USA
Andrea Goldsmith, Stanford University, USA
Syed Ali Jafar, University of California, Irvine
Sriram Vishwanath, University of Texas, Austin
Reinaldo Valenzuela, Bell Labs
Nihar Jindal, University of Minnesota
Shengli Zhou, University of Connecticut

Abstract:
MIMO systems can provide tremendous performance benefits for wireless systems in terms of capacity increase and diversity gain. Moreover, practical space-time coding, modulation, diversity, and other transmission and signal processing strategies for single-user and multiuser MIMO systems to exploit these gains are still in their infancy of development. This comprehensive tutorial covers the theory and practice of single-user and multiuser MIMO systems, including capacity, space-time coding, signal processing, and practical issues. It begins with a broad overview of MIMO channel capacity for both single and multiuser channels, including the impact of partial channel information, estimation errors, MAC and broadcast channel duality, dirty-paper coding for broadcast channels, and throughput/capacity tradeoffs for single and multiuser MIMO systems. The state-of-the-art in coding for MIMO systems is reviewed next. Space-time coding, a new coding paradigm suitable for multiple antenna systems, combines temporal diversity (through channel coding) and spatial diversity (through multiple transmit and receive antennas). A complete overview and comparison of the various emerging space-time coding techniques will be given, including   space-time trellis codes, space-time block codes, turbo codes, and concatenated codes with iterative decoding. Next the tutorial turns to signal processing techniques for MIMO, including multiuser MIMO channel estimation techniques, transmitter and receiver techniques with partial channel information. Realistic MIMO propagation channels and systems are then discussed, such as keyhole channels, spatio/temporal correlations, and antenna selection at the transmitter and/or receiver. Some practical issues such as transmitter and receiver complexity   and practical space-time coding architectures such as BLAST will also be described. The tutorial concludes with an overview of MIMO in existing systems.

Instructor Bios:
Ali Ghrayeb received the Ph.D. degree in electrical engineering from the University of Arizona, Tucson, AZ, in May 2000. From 2000 to 2002, he was an Assistant Professor in the Electrical Engineering Department at the American University of Sharjah, UAE. Since August 2002, he has been with the Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada, where he is an Assistant Professor. His research interests include digital and wireless communications, channel coding, turbo codes, space-time codes, linear and nonlinear equalization, and coding for data transmission and storage. He has published over 40 refereed conference and journal papers in the above research areas. He co-instructed technical tutorials on coding for MIMO systems at IEEE Globecom 2003 and WCNC 2004.

Georgios Giannakis holds the ADC Wireless Telecommunications Chair at the Electrical and Computer Engineering Department at the University of Minnesota. Prior to that he spent 12 years at the University of Virginia. Professor Giannakis' general academic interests include communications and signal processing, estimation and detection theory, time-series analysis, and system identification. His current research focuses on transmitter and receiver diversity techniques for single- and multi-user fading communication channels, precoding and space-time coding for block transmissions, multicarrier, and ultra-wideband wireless systems. He has published more than 160 journal papers, 300 conference papers, and he has edited two books on Signal Processing for Wireless and Mobile Communications. Dr. Giannakis has an electrical engineering educational background, with a BSEE (National Tech. University, Athens, Greece, 1981;), an MSEE, and Ph.D. EE (USC, 1983 and 1986, respectively) and he also has an MS in Mathematics (USC, 1986). Dr. Giannakis has been very active with the IEEE, winning four best paper awards, organizing workshops, and editing special issues.

Andrea Goldsmith received her Ph.D. degrees in electrical engineering from U.C. Berkeley in 1994. She was an assistant professor of Electrical Engineering at the Caltech from 1994-1998, and then joined the Electrical Engineering department at Stanford University where she is now an associate professor and holder of the Bredt Faculty Development Scholar Chair. She has also been affiliated with Maxim Technologies and with AT&T Bell Laboratories. Her research includes work in the capacity of wireless channels and networks, wireless communication and information theory, energy-constrained wireless communications, and cross-layer design for cellular systems, ad-hoc wireless networks, and sensor networks. Dr. Goldsmith has published over 100 conference and journal papers in these areas and has won several national awards for her research. She has served as editor for the IEEE Transactions on Communications and for the IEEE Wireless Communications Magazine. She is also on the Board of Governers for the IEEE Information Theory Society.

Syed Ali Jafar received the B. Tech. degree in electrical engineering from the Indian Institute of Technology (IIT)   Delhi, India in 1997, the M.S. degree in electrical engineering from California Institute of Technology (Caltech), Pasadena, CA, in 1999, and the Ph.D. degree in electrical engineering from Stanford University, Stanford, CA, in 2003.   He was an engineer in the Satellite Networks Division of Hughes Software Systems from 1997 to 1998, a summer intern in the Wireless Communications Group of Lucent Bell Laboratories, Holmdel, NJ, in 2001 and a senior engineer at Qualcomm Incorporated, San Diego in 2003. He is currently an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of California, Irvine.   His research interests include MIMO systems, multiuser information theory, spread-spectrum systems, and ad-hoc networks.

Nihar Jindal received the B.S. degree in Electrical Engineering and Computer Science from U.C. Berkeley in 1999, and the M.S. and PhD degrees in Electrical Engineering from Stanford University in 2001 and 2004, respectively.   In 2004 he joined the University of Minnesota where he is currently an Assistant Professor. His industry experience includes work at Intel Corporation, Santa Clara, CA during the summer of 2000 and at Lucent Bell Labs, Holmdel, NJ during the summer of 2002. His research interests include multiple-antenna channels, sensor/ad-hoc networks, and multi-user information theory.

Reinaldo A. Valenzuela obtained his Ph.D. from the Imperial College of Science and Technology, University of London, England. At Bell Laboratories, he has studied indoor microwave propagation and modeling, packet reservation multiple access for wireless systems and optical WDM networks. At Motorola Codex, he was involved in the implementation integrated voice and data packet systems.   Back at Bell Laboratories he led a multi-disciplinary team in the creation a 3D ray tracing software tool for Wireless System Engineering (WiSE). He received the Distinguished Member of Technical Staff award and is Director of the Wireless Communications Research Department. He is interested in microwave propagation measurements and models, intelligent antennas, 4G wireless system and space time systems achieving high capacities using transmit and receive antenna arrays. He has published over eighty papers and has twelve patents. He is a Fellow of the IEEE. He is editor for the IEEE Transactions on Communications and the IEEE Transactions on Wireless.

Sriram Vishwanath received his B.Tech. in Electrical Engineering from the Indian Institute of Technology (IIT) Madras in 1998, an M.S. in Electrical Engineering from the California Institute of Technology, Pasadena in 1999, and a Ph.D. in Electrical Engineering from Stanford University in 2003. He is currently an Assistant Professor in the Department of Electrical and Computer Engineering at U.T. Austin. His research interests include information theory, wireless communications and coding theory. His industry experience includes work at the National Semiconductor Corporation (NSC) in the summer of 2000 and at the Lucent Bell labs during the summer of 2002.

Shengli Zhou received his B.S.EE in 1995 and his M.Sc.EE in 1998, from the University of Science and Technology of China (USTC), and the Ph.D.EE in 2002, from the University of Minnesota. He is now an Assistant Professor with the Department of Electrical and Computer Engineering at the University of Connecticut. His research interests lie in the areas of communications and signal processing, including channel estimation and equalization, multi-user and multi-carrier communications, space-time coding, adaptive modulation, and cross-layer designs.