Multi-linear encoding and decoding for MIMO systems

Fazal-E-Asim, André L.F. de Almeida, Martin Haardt, Charles C. Cavalcante, Josef A. Nossek

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

Abstract

The objective of future wireless communication systems is to provide a reliable and high quality of service. We propose multi-linear encoding and decoding strategies by exploiting Kronecker-structured constant modulus constellations for providing a low bit error ratio (BER) in multiple-input-multiple-output (MIMO) systems. The encoding schemes are based on the one-layer Khatri-Rao, two-layer Khatri-Rao and hybrid Kronecker-Khatri-Rao encoding processes. The corresponding multi-linear decoders consist of closed-form algorithms based on rank-one approximations of matrices and/or tensors. Compared with the convolutional codes with hard and soft Viterbi decoders, the proposed multi-linear encoding and decoding strategies outperform the latter in terms of BER for the same spectral efficiency.

OriginalspracheEnglisch
Titel2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop, SAM 2020
Herausgeber (Verlag)IEEE Computer Society
ISBN (elektronisch)9781728119465
DOIs
PublikationsstatusVeröffentlicht - Juni 2020
Veranstaltung11th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2020 - Hangzhou, China
Dauer: 8 Juni 202011 Juni 2020

Publikationsreihe

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Band2020-June
ISSN (elektronisch)2151-870X

Konferenz

Konferenz11th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2020
Land/GebietChina
OrtHangzhou
Zeitraum8/06/2011/06/20

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