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Residual-aided CSI-free end-to-end learning for multiuser MIMO · Peerford

Article · Journal · 2026

Residual-aided CSI-free end-to-end learning for multiuser MIMO

Emmanuel Ampoma Affum, Osumanu Futa, Maxwell Afriyie Oppong, Daniel Owusu Biney

PLoS ONE

Open access · Gold

Read it 10.1371/journal.pone.0344696

Citations: 1from other works
Field-weighted impact: 2.061.00 is the world average for its field and year
Among its field: 87th percentileby citations, against works of its field and year
Authors: 4from 3 institutions

Authors

4 authors across 3 institutions in 1 country

Emmanuel Ampoma AffumFirst authorCorresponding
- Kwame Nkrumah University of Science and Technology (GH)
Osumanu Futa
- Accra Technical University (GH)
Maxwell Afriyie Oppong
- Kumasi Technical University (GH)
Daniel Owusu BineySenior author
- Kwame Nkrumah University of Science and Technology (GH)

Country

Ghana

Fields

A work can sit in several, each with a score

Advanced MIMO Systems OptimizationTopic
Millimeter-Wave Propagation and ModelingTopic
Wireless Signal Modulation ClassificationTopic