Computer Science – Information Theory
Scientific paper
2007-01-26
Computer Science
Information Theory
To appear in ICASSP 2007
Scientific paper
We consider joint transceiver design for general Multiple-Input Multiple-Output communication systems that implement interference (pre-)subtraction, such as those based on Decision Feedback Equalization (DFE) or Tomlinson-Harashima precoding (THP). We develop a unified framework for joint transceiver design by considering design criteria that are expressed as functions of the Mean Square Error (MSE) of the individual data streams. By deriving two inequalities that involve the logarithms of the individual MSEs, we obtain optimal designs for two classes of communication objectives, namely those that are Schur-convex and Schur-concave functions of these logarithms. For Schur-convex objectives, the optimal design results in data streams with equal MSEs. This design simultaneously minimizes the total MSE and maximizes the mutual information for the DFE-based model. For Schur-concave objectives, the optimal DFE design results in linear equalization and the optimal THP design results in linear precoding. The proposed framework embraces a wide range of design objectives and can be regarded as a counterpart of the existing framework of linear transceiver design.
Davidson Timothy N.
Shenouda Michael Botros
No associations
LandOfFree
A Framework for Designing MIMO systems with Decision Feedback Equalization or Tomlinson-Harashima Precoding does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A Framework for Designing MIMO systems with Decision Feedback Equalization or Tomlinson-Harashima Precoding, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Framework for Designing MIMO systems with Decision Feedback Equalization or Tomlinson-Harashima Precoding will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-568215