ICASSP 2023accepted0 citations
Deep-Unfolded Adaptive Projected Subgradient Method For Mimo Detection
Jochen Fink, Renato L. G. Cavalcante, Zoran Utkovski, Slawomir Stanczak
Abstract
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.
BibTeX
@inproceedings{icassp2023_deepunfoldedadap,
title = {Deep-Unfolded Adaptive Projected Subgradient Method For Mimo Detection},
author = {Jochen Fink and Renato L. G. Cavalcante and Zoran Utkovski and Slawomir Stanczak},
booktitle = {ICASSP 2023},
year = {2023}
}