Multi-linear Encoding and Decoding for MIMO Systems
ID:89 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:423 Oral Presentation

Start Time:2020-06-08 15:00(Asia/Shanghai)


Session:S Special Session » SS12 Structured Matrix/Tensor Decompositions: Models, Applications And Fast Algorithms

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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 of 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.
Fazal-E- Asim
Federal University of Cear?Brazil, Brazil

Submission Author
Fazal-E- Asim Federal University of Cear?Brazil, Brazil
Andr?de Almeida Federal University of Cear?& Wireless Telecom Research Group - GTEL, Brazil
Martin Haardt Ilmenau University of Technology, Germany
Charles Casimiro Federal University of Cear? Brazil
Josef A. TU Munich, Germany & Federal University of Ceara, Fortaleza, Brazil
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  • Jan 12 2020

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