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Space-time coding and signal processing for MIMO communications

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Abstract

Rapid growth in mobile computing and other wireless multimedia services is inspiring many research and development activities on high-speed wireless communication systems. Main challenges in this area include the development of efficient coding and modulation signal processing techniques for improving the quality and spectral efficiency of wireless systems. The recently emerged space-time coding and signal processing techniques for wireless communication systems employing multiple transmit and receive antennas offer a powerful paradigm for meeting these challenges. This paper provides an overview on the recent development in space-time coding and signal processing techniques for multiple-input multiple-output (MIMO) communication systems. We first review the information theoretic results on the capacities of wireless systems employing multiple transmit and receive antennas. We then describe two representative categories of space-time systems, namely, the BLAST system and the space-time block coding system, both of which have been proposed for next-generation high-speed wireless system. Signal processing techniques for channel estimation and decoding in space-time systems are also discussed. Finally, some other coding and signal processing techniques for wireless systems employing multiple transmit and receive antennas that are currently under intensive research are also briefly touched upon.

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Correspondence to Inaki Berenguer.

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I. Berenguer is supported by a Fulbright fellowship.

Inaki Berenguer was born in Spain in 1976. He received the M.S.E.E. degree from the Technical University of Valencia, Spain, in 2000 and the M.Phil. degree in electrical engineering from the University of Cambridge, UK, in 2002. From July 1999 to January 2001, he was with Hewlett Packard, Belgium. In January 2001, he joined the STMicroelectronics Wireless Division in San Diego, CA, working on a W-CDMA project until August 2001. Since September 2002, he is pursuing his Ph.d. degree in electrical engineering at Columbia University, New York, as a Fulbright scholar. He was also a recipient of the British Council-La Caixa and Leonardo Da Vinci fellowships. His research interests include communications theory and digital signal processing.

Xiaodong Wang received the B.S. degree in electrical engineering and applied mathematics (with the highest honor) from Shanghai Jiao Tong University, Shanghai, China, in 1992; the M.S. degree in electrical and computer engineering from Purdue University in 1995; and the Ph.D. degree in electrical engineering from Princeton University in 1998. From July 1998 to December 2001, he was an assistant professor in the Department of Electrical Engineering, Texas A&M University. In January 2002, he joined the Department of Electrical Engineering, Columbia University, as an assistant professor.

Dr. Wang’s research interests fall in the general areas of computing, signal processing and communications. He has worked in the areas of digital communications, digital signal processing, parallel and distributed computing, nanoelectronics and bioinformatics, and has published extensively in these areas. His current research interests include wireless communications, Monte Carlo-based statistical signal processing, and genomic signal processing. Dr. Wang received the 1999 NSF CAREER Award, and the 2001 IEEE Communications Society and Information Theory Society Joint Paper Award. He currently serves as an associate editor for the IEEE Transactions on Communications, the IEEE Transactions on Wireless Communications, the IEEE Transactions on Signal Processing, and for the EURASIP Journal of Applied Signal Processing.

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Berenguer, I., Wang, X. Space-time coding and signal processing for MIMO communications. J. Comput. Sci. & Technol. 18, 689–702 (2003). https://doi.org/10.1007/BF02945457

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