RAWCON Logo
RAWCON Banner

IEEE Logo
MTT Logo

IEEE Boston Section

 

General Information

 

Attendees

 

Exhibitors /
Commercial Sponsors

 

Authors

 

IEEE Sponsors

 

Links

 
 

IEEE Radio and Wireless Conference
RAWCON 2003
Invited Speakers

Printer Friendly Page

"MIMO systems with antenna selection - an overview"

Andy Molisch
Mitsubishi Electric Research Labs

molisch@merl.com

 

Abstract

MIMO (multiple-input - multiple output) wireless systems are those that have antenna arrays at both transmitter and receiver. The main problem of any MIMO system is the increased complexity, and thus cost, it introduces by requiring N complete RF chains. Additional antenna elements (patch or dipole antennas) are usually cheap, and the additional digital signal processing is becoming less of a burden as digital processing becomes ever more powerful. However, RF elements like low-noise amplifiers, downconverters, and analog-to-digital converters are a significant cost factor. Due to the reason, there is now great interest in so-called hybrid-selection schemes, where the "best" L out of N antennas are chosen (either at one, or at both link ends), downconverted, and processed. This reduces the number of required RF chains from N to L, and thus leads to significant savings; this comes at the price of a (usually small) performance loss compared to the full-complexity system. This paper gives an overview of such systems, showing how the selection
process can be applied to either diversity systems or so-called "spatial multiplexing", and details the performance for those two cases. In ideal channels, full diversity can be achieved, and also the number of independent data streams for spatial multiplexing can be maintained if certain conditions on L are fulfilled. Fast algorithms for the selection of the best antennas are discussed. Finally, we discuss the impact of system nonidealities, like noisy channel estimation, correlations of the received signals, etc. It is demonstrated that for many practical applications, antenna selection provides large savings in terms of complexity with only a small performance loss.

Biography

Andreas F. Molisch received the M. Sc., Ph.D. and habilitation degrees, all from the Technical University of Vienna, in 1990, 1994, and 1999 respectively. From 1994 to 2000, he was assistant and associate professor at that university. From 2000 to 2002, he was at AT&T Labs Research, Middletown, NJ. Since 2002, he is with Mitsubishi Electric Research Labs, Cambridge, MA. He is also professor and chairholder for radio systems at Lund University, Sweden. His research interests are MIMO systems, wireless channels, and ultrawideband systems. He has published 2 books, 6 book chapters, 60 journal papers, and numerous conference papers. He is a senior member of the IEEE and recipient of several awards.


Important Dates

Early Registration Deadline:
17 July, 2003

Conference:
10-13 August, 2003

Sign up for RAWCON email updates.

* Readme/FAQ

* Our policy.

Sign Up Button


Weather in Boston