TENSOR-TRAIN MODELING FOR MIMO-OFDM TENSOR CODING-AND-FORWARDING RELAY SYSTEMS

Abstract : In this paper, we consider a new one-way two-hop amplify-and-forward (AF) relaying scheme with a tensor space-time coding under frequency-selective fading channels. The signals received at the destination of the multi-input multi-output (MIMO) system define a 6-order tensor which satisfies a tensor-train decomposition (TTD). We propose a new TTD based receiver for a joint channel and symbol estimation. The proposed receiver avoids the use of long training sequences and resort to very few pilots to provide unique estimates of the individual channel matrices and the symbol matrix. Numerical simulations show the performance of the new proposed TTD-based semi-blind receiver.
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02146466
Contributor : Remy Boyer <>
Submitted on : Thursday, November 7, 2019 - 7:35:38 PM
Last modification on : Wednesday, November 13, 2019 - 10:18:01 PM

File

1570533793.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02146466, version 1

Citation

Yassine Zniyed, Remy Boyer, André de Almeida, Gérard Favier. TENSOR-TRAIN MODELING FOR MIMO-OFDM TENSOR CODING-AND-FORWARDING RELAY SYSTEMS. EUSIPCO 2019, Sep 2019, A Coruna, Spain. ⟨hal-02146466⟩

Share

Metrics

Record views

13

Files downloads

28