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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2014

01.03.2014

An SVD-Aided Efficient Bit-Loading Algorithm for MIMO Transmission Over Spatially Correlated Channels

verfasst von: Imade Fatani, Marie Zwingelstein-Colin, Mohamed Gharbi, François-Xavier Coudoux, Marion Berbineau, Marc Gazalet

Erschienen in: Wireless Personal Communications | Ausgabe 2/2014

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Abstract

This paper proposes an efficient bit-loading algorithm for Multiple-Input-Multiple-Output transmission over spatially correlated channels with perfect Channel State Information at both link ends. Based on water-filling principle, the algorithm does not assume the well-known gap approximation and accounts for the spatial correlation effects through the initial bit allocation. The result is the optimal distribution of bits and power over the eigenmodes for multiple antenna systems. We report the performance evaluations in the presence of spatial correlation in order to illustrate the efficiency and the robustness of our bit-loading algorithm in realistic environments. The simulation results demonstrate that our algorithm leads to significant improvements. In addition, these results show that our algorithm achieves the maximal diversity order, as well as exhibiting a high extra coding gain.
Vorheriger Artikel A Dynamic Resource Allocation Scheme for the Downlink Heterogeneous Traffic of Internet Protocol (IP) Based OFDM networks
Nächster Artikel Distributed Orthogonal and Quasi-Orthogonal Space-Time Block Code with Embedded AAF/DAF Matrix Elements in Wireless Relay Networks with Four Relays

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Metadaten
Titel
An SVD-Aided Efficient Bit-Loading Algorithm for MIMO Transmission Over Spatially Correlated Channels
verfasst von
Imade Fatani
Marie Zwingelstein-Colin
Mohamed Gharbi
François-Xavier Coudoux
Marion Berbineau
Marc Gazalet
Publikationsdatum
01.03.2014
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2014
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-013-1414-3

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