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DFT-based Beamforming Weight-Vector Codebook Design for Spatially Correlated Channels in the Unitary Precoding Aided Multiuser Downlink

Yang, Du, Yang, Lie-Liang and Hanzo, Lajos (2010) DFT-based Beamforming Weight-Vector Codebook Design for Spatially Correlated Channels in the Unitary Precoding Aided Multiuser Downlink At ICC 2010, South Africa. 23 - 27 May 2010. (doi:10.1109/ICC.2010.5502350).

Record type: Conference or Workshop Item (Paper)

Abstract

Abstract—The DFT-based beamforming weight-vector code-book is considered as an effective design for spatially correlated channels. In this paper, we demonstrate that when the antenna elements are uniformly spaced as well as linearly arranged, and the channels are spatially correlated, the codewords in a DFT-based beaforming weight-vector codebook approximately match the distribution of the optimal beamforming weight-vectors. As a result, the DFT-based codebook is indeed effective. Furthermore, we also demonstrate that if the antenna elements are uniformly spaced and circulary arranged, the statistical distribution of the optimal beamforming weight-vectors becomes different. We will demonstrate that in this scenario the DFT-based codebook will no longer outperform the Grassmannian codebook, which has not been shown in previous studies. Finally, an algorithm is proposed for constructing the DFT-based precoding matrix, which outperforms the conventional algorithm by ensuring the orthogonality of the precoding matrix.

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Published date: 23 May 2010
Additional Information: Event Dates: May 23-27, 2010
Venue - Dates: ICC 2010, South Africa, 2010-05-23 - 2010-05-27
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 271207
URI: http://eprints.soton.ac.uk/id/eprint/271207
ISBN: 978-1-4244-6402-9
PURE UUID: 626c9197-2afa-49e7-980b-6231d95cc451
ORCID for Lie-Liang Yang: ORCID iD orcid.org/0000-0002-2032-9327

Catalogue record

Date deposited: 31 May 2010 18:32
Last modified: 18 Jul 2017 06:46

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Contributors

Author: Du Yang
Author: Lie-Liang Yang ORCID iD
Author: Lajos Hanzo

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