Sparse Layered MIMO with Iterative Detection
Mohamad H. Dinan, Nemanja Stefan Perovic, and Mark F. Flanagan

TL;DR
This paper introduces a sparse layered MIMO scheme that enhances spectral efficiency and error performance using non-orthogonal transmission and SVD precoding, along with a low-complexity detector and analytical error bounds.
Contribution
The paper proposes the novel SL-MIMO scheme combining non-orthogonal transmission with SVD precoding and develops a low-complexity detector and analytical error bounds.
Findings
SL-MIMO outperforms X- and Y-codes in error rate.
SL-MIMO achieves 5.6 dB and 4.7 dB gains in 6x6 MIMO with 64-ary constellation.
Analytical bounds validate the diversity gain of SL-MIMO.
Abstract
In this paper, we propose a novel transmission scheme, called sparse layered MIMO (SL-MIMO), that combines non-orthogonal transmission and singular value decomposition (SVD) precoding. Nonorthogonality in SL-MIMO allows re-using of the eigen-channels which improves the spectral efficiency and error rate performance of the system through enhancing the coding gain and diversity gain. We also present a low-complexity message-passing (MP) detector for the proposed SL-MIMO system which performs quite close to maximum likelihood (ML). The joint moment generating function (MGF) of the ordered eigenvalues is calculated and used to derive a closed-form upper bound on the average word error probability (AWEP) of the SL-MIMO system, and this derived expression is then used to analyze the diversity gain of the system. We use our analytical results to design sub-optimal codebooks to minimize the…
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