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Authors: Andreas Ahrens 1 ; Francisco Cano-Broncano 2 and César Benavente-Peces 2

Affiliations: 1 University of Technology Business and Design, Germany ; 2 Universidad Politécnica de Madrid, Spain

ISBN: 978-989-758-047-5

Keyword(s): Multiple-input Multiple-output System, Singular-value Decomposition, Geometric Mean Decomposition, Bit Allocation, Power Allocation, Antennas Correlation,Wireless Transmission, Tomlinson-harashima Precoding.

Related Ontology Subjects/Areas/Topics: Channel Coding, Modulation and Multi-User Detection ; Detection, Decoding and Diversity Techniques ; MIMO Systems and Techniques ; Telecommunications ; Wireless Information Networks and Systems

Abstract: Singular-value decomposition (SVD)-based multiple-input multiple output (MIMO) systems, where the whole MIMO channel is decomposed into a number of unequally weighted single-input single-output (SISO) channels, have attracted a lot of attention in the wireless community. The unequal weighting of the SISO channels has led to intensive research on bit- and power allocation even in MIMO channel situation with poor scattering conditions identified as the antennas correlation effect. In this situation, the unequal weighting of the SISO channels becomes even much stronger. In comparison to the SVD-assisted MIMO transmission, geometric mean decomposition (GMD)-based MIMO systems are able to compensate the drawback of weighted SISO channels when using SVD, where the decomposition result is nearly independent of the antennas correlation effect. The remaining interferences after the GMD-based signal processing can be easily removed by using dirty paper precoding as demonstrated in this work. Ou r results show that GMD-based MIMO transmission has the potential to significantly simplify the bit and power loading processes and outperforms the SVD-based MIMO transmission as long as the same QAM-constellation size is used on all equally-weighted SISO channels. (More)

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Paper citation in several formats:
Ahrens A., Cano-Broncano F. and Benavente-Peces C. (2014). Resource Allocation in GMD and SVD-based MIMO System.In Proceedings of the 11th International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2014) ISBN 978-989-758-047-5, pages 27-35. DOI: 10.5220/0005020300270035

@conference{winsys14,
author={Andreas Ahrens and Francisco Cano-Broncano and César Benavente-Peces},
title={Resource Allocation in GMD and SVD-based MIMO System},
booktitle={Proceedings of the 11th International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2014)},
year={2014},
pages={27-35},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005020300270035},
isbn={978-989-758-047-5},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2014)
TI - Resource Allocation in GMD and SVD-based MIMO System
SN - 978-989-758-047-5
AU - Ahrens A.
AU - Cano-Broncano F.
AU - Benavente-Peces C.
PY - 2014
SP - 27
EP - 35
DO - 10.5220/0005020300270035

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