A Set-Theoretic Approach to Mimo Detection

Fink, Jochen; Cavalcante, Renato L. G.; Utkovski, Zoran; Stańczak, Sławomir

doi:10.1109/icassp43922.2022.9746548

Cited by 2 publications

(1 citation statement)

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“…The second objective of this study is to illustrate the usefulness of the theoretical results by applying a particular instance of a superiorized APSM to detection in multiple-input multiple-output (MIMO) systems. In doing so, we extend our previous results [32] by theoretical convergence guarantees. Nevertheless, the theoretical results on bounded perturbation resilience of the APSM can be used in a much wider range of applications, including problems in infinite dimensional Hilbert spaces.…”

Section: Introductionsupporting

confidence: 73%

Superiorized Adaptive Projected Subgradient Method With Application to MIMO Detection

Fink

Cavalcante

Stańczak

2023

IEEE Trans. Signal Process.

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In this paper, we show that the adaptive projected subgradient method (APSM) is bounded perturbation resilient. To illustrate a potential application of this result, we propose a set-theoretic framework for MIMO detection, and we devise algorithms based on a superiorized APSM. Various low-complexity MIMO detection algorithms achieve excellent performance on i.i.d. Gaussian channels, but they typically incur high performance loss if realistic channel models (e.g., correlated channels) are considered. Compared to existing lowcomplexity iterative detectors such as individually optimal large-MIMO approximate message passing (IO-LAMA), the proposed algorithms can achieve considerably lower symbol error ratios over correlated channels. At the same time, the proposed methods do not require matrix inverses, and their complexity is similar to IO-LAMA.

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Section: Introductionsupporting

confidence: 73%