Resource allocation in GMD and SVD-based MIMO System

Ahrens, Andreas and Cano Broncano, Francisco and Benavente Peces, César (2014). Resource allocation in GMD and SVD-based MIMO System. In: "11th International Conference on Wireless Information Networks and Systemss (WINSYS 2014)", 28/08/2014 - 30/08/2014, Vienna, Austria. ISBN 978-989-758-047-5. pp. 27-35.

Description

Title: Resource allocation in GMD and SVD-based MIMO System
Author/s:
  • Ahrens, Andreas
  • Cano Broncano, Francisco
  • Benavente Peces, César
Item Type: Presentation at Congress or Conference (Article)
Event Title: 11th International Conference on Wireless Information Networks and Systemss (WINSYS 2014)
Event Dates: 28/08/2014 - 30/08/2014
Event Location: Vienna, Austria
Title of Book: Proceedings of the 11th International Conference on Wireless Information Networks and Systems
Date: 2014
ISBN: 978-989-758-047-5
Volume: 1
Subjects:
Freetext Keywords: Multiple-Input Multiple-Output System, Singular-Value Decomposition, Geometric Mean Decomposition, Bit Allocation, Power Allocation, Antennas Correlation, Wireless Transmission, Tomlinson-Harashima Precoding.
Faculty: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Department: Teoría de la Señal y Comunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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. Our 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 information

Item ID: 36896
DC Identifier: http://oa.upm.es/36896/
OAI Identifier: oai:oa.upm.es:36896
Official URL: http://www.winsys.icete.org/?y=2014
Deposited by: Memoria Investigacion
Deposited on: 29 Mar 2016 16:54
Last Modified: 29 Mar 2016 16:54
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