Multiuser MIMO Transmission with Limited Feedback, Cooperation, and Coordination

Call for Papers

Wireless communication systems are already exploiting powerful multiple antenna technologies based on the principles of MIMO (multiple input multiple output) communication. By now, the principles of single user MIMO communication links are well understood. The next generation of systems, though, will use more advanced MIMO communication strategies that support multiuser MIMO. Multiple user communication with MIMO is more challenging than single user MIMO due to the additional degrees of freedom entailed by suppressing, cancelling, or avoiding interference. For example, limited signalling algorithms that are used to quantize channel state information at the receiver and send this information back to the transmitter(s) or relay(s) become more complex, since they need much higher resolution to achieve similar performance as their single-user counterparts. Consequently, advances in limited signaling communication are still required to make multiuser MIMO viable in next-generation systems.

This has motivated advanced research in the Network of Excellence Newcom++, which supports this Special Issue.

Although using multiuser MIMO within individual cells has considerable potential, even larger performance gains can be achieved by using multi user MIMO across cooperative base stations. In the ideal case with perfect cooperation across all cells, the set of all base station antennas can be thought of as a single, distributed antenna array. Significant gains can also be achieved by some level of local coordination: for example, neighboring base stations might jointly choose beamforming directions in order to achieve interference alignment. In this general setting, there are fundamental challenges associated with transceiver design, limited channel information, and cooperative mechanisms.

Topics of interest include, but are not limited to:

  • CSI feedback mechanisms for multiuser MIMO
  • Feedback codebook design
  • Rate distortion-based analysis of feedback systems
  • Spatially or temporally adaptive feedback
  • MIMO with statistical feedback
  • Nonlinear/adaptive MIMO precoding
  • Opportunistic scheduling and opportunistic feedback
  • Inclusion of MIMO concepts in wireless standards
  • Feedback in MIMO-OFDM and OFDMA schemes
  • Cross-layer approaches to multiuser MIMO
  • Multi-cell cooperative multiuser MIMO
  • Channel training and feedback for multicell MIMO
  • Interference alignment for multicell MIMO
  • Adaptive space-time modulation and coding
  • Cooperative space-time coding
  • Coordinated joint source channel coding

Authors should follow the EURASIP Journal on Advances in Signal Processing manuscript format described at the journal site http://www.hindawi.com/journals/asp/. Prospective authors should submit an electronic copy of their complete manuscript through the Manuscript Tracking System at http://mts.hindawi.com/, according to the following timetable:

Manuscript DueDecember 1, 2008
First Round of ReviewsMarch 1, 2009
Publication DateJune 1, 2009

Guest Editors

  • Markus Rupp, Vienna University of Technology, Gusshausstr. 25/389, 1040 Wien, Austria
  • Ana PĂ©rez-Neira, Technical University of Catalonia, c/Jordi Girona 1-3, 08034 Barcelona, Spain
  • Robert W. Heath Jr., The University of Texas at Austin, 1 University Sta C0803, Austin, TX 78712-0240, USA
  • Nihar Jindal, University of Minnesota, 200 Union St. SE, Minneapolis, MN 55455, USA
  • Christoph Mecklenbräuker, Vienna University of Technology, Gusshausstr. 25/389, 1040 Wien, Austria