DEEP-UNFOLDED ADAPTIVE PROJECTED SUBGRADIENT METHOD FOR MIMO DETECTION
Jochen Fink (Fraunhofer HHI); Renato Luis Garrido Cavalcante (Fraunhofer Heinrich Hertz Inst); Zoran Utkovski (Fraunhofer Heinrich hertz Institute); Slawomir Stanczak (Fraunhofer HHI)
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In this paper, we propose deep-unfolded versions of the recently proposed superiorized adaptive projected subgradient method for MIMO detection. The proposed methods require a single matrix inverse for initialization, and they have a quadratic per-iteration complexity. Extensive simulations with realistic channel models show that the proposed deep-unfolded detectors outperform not only their untrained counterpart, but also existing methods with similar complexity.