SpringerOpen Newsletter

Receive periodic news and updates relating to SpringerOpen.

This article is part of the series MIMO Transmission with Limited Feedback.

Open Access Open Badges Research Article

Feedback Reduction in Uplink MIMO OFDM Systems by Chunk Optimization

Eduard Jorswieck1*, Aydin Sezgin2, Björn Ottersten1 and Arogyaswami Paulraj2

Author Affiliations

1 ACCESS Linnaeus Center, Electrical Engineering, KTH - Royal Institute of Technology, Stockholm 100 44, Sweden

2 Information Systems Laboratory, Stanford University, CA 94305, USA

For all author emails, please log on.

EURASIP Journal on Advances in Signal Processing 2008, 2008:597072  doi:10.1155/2008/597072

The electronic version of this article is the complete one and can be found online at: http://asp.eurasipjournals.com/content/2008/1/597072

Received:12 June 2007
Revisions received:12 September 2007
Accepted:19 November 2007
Published:25 November 2007

© 2008 The Author(s).

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The performance of multiuser MIMO systems can be significantly increased by channel-aware scheduling and signal processing at the transmitters based on channel state information. In the multipleantenna uplink multicarrier scenario, the base station decides centrally on the optimal signal processing and spectral power allocation as well as scheduling. An interesting challenge is the reduction of the overhead in order to inform the mobiles about their transmit strategies. In this work, we propose to reduce the feedback by chunk processing and quantization. We maximize the weighted sum rate of a MIMO OFDM MAC under individual power constraints and chunk size constraints. An efficient iterative algorithm is developed and convergence is proved. The feedback overhead as a function of the chunk size is considered in the rate computation and the optimal chunk size is determined by numerical simulations for various channel models. Finally, the issues of finite modulation and coding schemes as well as quantization of the precoding matrices are addressed.

Publisher note

To access the full article, please see PDF.