8:30 - 11:45 AM, 13 May, 2002
Multiple antennas (MIMO - multiple input, multiple output) offer many exciting possibilities for high data rate communications since, in theory, they can significantly boost channel capacity as well as lower the probability of error of a wireless communications link. This tutorial reviews multi-antenna communications from the viewpoints of information theory, coding theory and signal processing.
We study the fundamental limitations of multi-antenna channels, e.g., capacity and error exponents, and how these are affected by the number of transmit and receive antennas, as well as the spatial and temporal fading properties of the channel. We outline the main issues and criteria for the design of space-time codes and describe several examples and systematic constructions for both quasi-static (as in fixed wireless) and rapidly fading (as in mobile wireless) applications.
Finally, we look at the main signal processing challenge which is to devise practical space-time transmission schemes that are simple, yet efficient: simple so that all the processing can be done in real-time, and efficient so that the high rates promised by theory can be attained. To this end we describe some recent work in the development of efficient (polynomial-time) maximum-likelihood decoding algorithms for various space-time codes. The emphasis of the tutorial is both on theory and on the development of practical codes and algorithms. Numerous examples, as well as various Monte Carlo simulations will be presented.
presenters:
Babak Hassibi received the B.S. degree from the University of Tehran in 1989, and the M.S. and Ph.D. degrees from Stanford University in 1993 and 1996, respectively, all in electrical engineering. From October 1996 to October 1998 he was a research associate at the Information Systems Laboratory, Stanford University, and from November 1998 to Deecember 2000 he was a Member of the Technical Staff in the Mathematical Sciences Research Center at Bell Laboratories, Murray Hill, NJ. Since January 2001 he has been an assistant professor of electrical engineering at the California Institute of Technology, Pasadena, CA. He has also held short-term appointments at Ricoh California Research Center, the Indian Institute of Science, and Linkoping University, Sweden. His research interests include wireless communications, robust estimation and control, adaptive signal processing and linear algebra. He is the coauthor of the books "Indefinite Quadratic Estimation and Control: A Unified Approach to H^2 and H^infinity Theories" (New York: SIAM, 1999) and "Linear Estimation" (Englewood Cliffs, NJ: Prentice Hall, 2000). He was also the recipient of the 1999 O. Hugo Schuck best paper award of the American Automatic Control Council.
Bertrand Hochwald was born in New York, NY. He received his undergraduate education from Swarthmore College, Swarthmore PA, and the M.S. degree in electrical engineering from Duke University, Durham, NC. In 1989, he enrolled at Yale University, New Haven, CT, where he received the M.A. degree in statistics and the Ph.D degree in electrical engineering. From 1986 to 1989 he worked for the Department of Defense, Fort Meade, MD. During 1995-96 he was a Research Associate and Visiting Assistant Profesor at the Coordinated Sciences Laboratory, University of Illinois, Urbana-Champaign. In September 1996, he joined the Mathematics of Communications Research Department at Bell Laboratories--Lucent Technologies, Murray Hill, NJ. His interests include communications and information theory, probability theory, and statistical signal processing. Dr. Hochwald is the recipient of several achievement awards while employed at the Department of Defense and the Prize Teaching Fellowship at Yale.
Thomas Marzetta received the Ph.D degree in electrical engineering from the Massachussetts Institute of Technology (MIT), Cambridge. He worked in petroleum exploration at Schlumberger-Doll Research, and in aerospace/electronics and Nichols Research Corporation before joining Bell Laboratories. He is now with the Mathematics of Communications Research Department, Bell Laboratories, Lucent Technologies, Murray Hill, NJ. The focus of his current research is high-capacity multiple-antenna wireless communications. Dr. Marzetta has been active in the IEEE Signal Processing Society as a charter member of the Technical Committee on Multidimensional Signal Processing, as an Associate Editor of the IEEE Transactions on Acoustics Speech and Signal Processing, an Associate Editor of the IEEE Transactions on Image Processing, and as a member of the Signal Processing Steering Committee of the IEEE Central New England Council. He is currently a member of the Sensor Array and Multichannel Technical Committee. He was the recipient of the 1981 ASSP Paper Award.