Special Issue on Signal Processing Techniques for Space-Time-Coded Transmissions
October 2002

Space-time coding (STC) has emerged over the past few years as a new paradigm for optimally combining modulation, coding, and diversity gains over wireless links. It is ideal for improving the downlink performance (which is the bottleneck in asymmetric applications such as Internet browsing and downloading) while keeping user terminals lightweight and cost effective.
STC was originally developed for frequency-flat quasi-static fading channels. Extensive recent research has focused on extending it to frequencyselective and time-selective fading channels.
Detection of space-time-coded signals presents a significant signal processing challenge as multiple coded, distorted, and faded copies of the desired signal are superimposed at each receive antenna and corrupted by noise, multiuser interference, and synchronization errors. Original research as well as tutorial papers are solicited in the general area of signal processing techniques for space-time-coded transmission.
 
Topics:
  • Channel Estimation (training-based, semi-blind, and blind)
• Equalization and Efficient Decoding
• Interference Suppression and Beamforming for STC
• STC for Time-Varying Channels (channel tracking)
• Synchronization Techniques
• STC and Multiple Access (OFDM, CDMA, TDMA)
• Turbo Techniques
• Capacity and Performance Limits
• High-Rate Layered Space-Time Methods (such as BLAST)
• Differential Space-Time Methods
• Prototyping Efforts
 
Guest Editors:
  • Prof. Georgios B. Giannakis, Dept. Elec & Comp. Eng. University of Minnesota 200 Union Street SE, Minneapolis, MN 55455 georgios@ece.umn.edu

• Dr. Naofal Al-Dhahir, AT&T Shannon Laboratory Bldg. 103, Rm. C289 180 Park Avenue Florham Park, NJ 07932 naofal@research.att.com

• Prof. Brian L. Hughes, Dept. Elec & Comp. Eng North Carolina State Univ Raleigh, NC 27695-7911 blhughes@eos.ncsu.edu

• Dr. Bertrand Hochwald, Bell Laboratories Lucent Technologies 600 Mountain Avenue, Rm. 2C-363 Murray Hill, NJ 07974 hochwald@research.bell-labs.com

• Dr. Thomas L. Marzetta, Bell Laboratories Lucent Technologies 600 Mountain Avenue, Rm. 2C-373 Murray Hill, NJ 07974 tlm@research.bell-labs.com

Copyright 2003 IEEE Signal Processing Society