Proc. IEEE Global Communications Conference,
Nov. 27-Dec 1, 2006, accepted for publication.
Codebook Design for Noncoherent MIMO
Communications Via Reflection Matrices
Daifeng Wang and
Brian L. Evans
Department of Electrical and Computer Engineering,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712-1084 USA
wang@ece.utexas.edu -
bevans@ece.utexas.edu
Paper -
Poster
Abstract
This paper studies the codebook design problem for noncoherent
multiple input multiple output (MIMO) communications.
Each codeword in the codebook is considered to be a point in a
Grassmann manifold.
In this paper, the codebook design is formulated as an inverse
eigenvalue problem.
A new algorithm using reflection matrices is proposed to obtain the
optimal codebook for noncoherent block fading channels where
the channel state information (CSI) is unknown at both the
receiver and transmitter.
The key contribution of this paper is that our algorithm is able to
construct an optimal codebook via a sequence of reflection matrices.
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Last Updated 03/11/06.