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Authors: André Sandmann ; Andreas Ahrens and Steffen Lochmann

Affiliation: Hochschule Wismar, University of Technology and Business and Design, Germany

Keyword(s): Multiple-Input Multiple-Output System, Singular-Value Decomposition, Polynomial Matrix Factorization, Bit Allocation, Power Allocation, Wireless Transmission.

Abstract: Removing channel interference in broadband multiple-input multiple-output (MIMO) systems is a task which can be solved by applying a spatio-temporal vector coding (STVC) channel description and using singular value decomposition (SVD) in combination with signal pre- and post-processing. In this contribution a polynomial matrix factorization channel description in combination with a specific SVD algorithm for polynomial matrices is analyzed and compared to the commonly used STVC SVD. This comparison points out the analogies and differences of both equalization methods. Furthermore, the bit error rate (BER) performance is evaluated for two different channel types and is optimized by applying bit-allocation schemes involving a power loading strategy. Our results, obtained by computer simulation, show that polynomial matrix factorization such as polynomial matrix SVD could be an alternative signal processing approach compared to conventional SVD-based MIMO approaches in frequency-selecti ve MIMO channels. (More)

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Paper citation in several formats:
Sandmann, A.; Ahrens, A. and Lochmann, S. (2015). Resource Allocation in SVD-assisted Broadband MIMO Systems Using Polynomial Matrix Factorization. In Proceedings of the 5th International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS 2015) - AMC; ISBN 978-989-758-084-0; ISSN 2184-2817, SciTePress, pages 317-324. DOI: 10.5220/0005265403170324

@conference{amc15,
author={André Sandmann. and Andreas Ahrens. and Steffen Lochmann.},
title={Resource Allocation in SVD-assisted Broadband MIMO Systems Using Polynomial Matrix Factorization},
booktitle={Proceedings of the 5th International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS 2015) - AMC},
year={2015},
pages={317-324},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005265403170324},
isbn={978-989-758-084-0},
issn={2184-2817},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS 2015) - AMC
TI - Resource Allocation in SVD-assisted Broadband MIMO Systems Using Polynomial Matrix Factorization
SN - 978-989-758-084-0
IS - 2184-2817
AU - Sandmann, A.
AU - Ahrens, A.
AU - Lochmann, S.
PY - 2015
SP - 317
EP - 324
DO - 10.5220/0005265403170324
PB - SciTePress

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