Special Issue on Signal Processing for Multiple-Input Multiple-Output (MIMO)Wireless Communications Systems
November 2003

Transmit and receive antenna arrays used to form multiple-input multiple-output (MIMO) channels have recently created great interest due to the linear increase in capacity with the number of antennas that they can provide. To achieve the great potential in practical systems requires yet-to-be-developed signal processing solutions for efficient signaling, coding, and reception. Fundamental innovations are needed on the theory of MIMO systems, their performance and implementation, and in the careful control of their complexity which can easily become unmanageable.
This Call for Papers is directed at researchers focusing on these formidable problems in the hope of speeding up progress by encouraging research which should lead to significant scientific breakthroughs. High-quality innovative research papers and review papers in the broad signal processing areas described above are sought
 
Topics:
  • MIMO-OFDM, MIMO-CDMA, and related approaches
• Space-time block & trellis as well as turbo & LDPC code design and decoding
• MIMO performance analysis based on error rates and capacity limits
• MIMO channel estimation and signal detection
• Efficient reception algorithms (possibly related to multiuser detection)
• Efficient decoding for MIMO channels
• Performance analysis and algorithm development for MIMO in cellular and wireless, possibly ad hoc, networks
• Performance analysis and algorithm development for multiuser MIMO channels
• Joint decoding, detection, and estimation for MIMO channels
• Equalization for frequency selective MIMO channels
• Link adaptation (coding and modulation) and exploiting channel knowledge (full,partial) at the transmitter
 
Guest Editors:
  • Rick S. Blum, ECE Dept. Lehigh Univ. 19 Memorial DriveWest Bethlehem, PA 18015-3084 U.S.A., rblum@eecs.lehigh.edu

• Helmut B¨olcskei, Communication Technology Lab ETH Zurich Sternwartstr. 7 CH-8092 Zurich Switzerland, boelcskei@nari.ee.ethz.ch

• Michael P. Fitz, EE Dept., UCLA Boelter Hall 6731G Box 951594 Los Angeles, CA 90095-1594 U.S.A., fitz@ee.ucla.edu

• Brian Hughes, ECE Dept. NC State University Raleigh, NC 7695-7914 U.S.A, blhughes@eos.ncsu.edu

• Arogyaswami J. Paulraj, EE Dept., ISL Stanford University 272 David Packard Bldg 350 Serra Mall Stanford, CA 94305-9510 U.S.A., apaulraj@stanford.edu

Copyright 2003 IEEE Signal Processing Society