On Multi-User Deep-Learning-Based Non-Coherent DPSK Multiple-Symbol Differential Detection in Massive MIMO Systems

In view of reducing the complexity of signal detection in massive multiple-input multiple-output (MIMO) receivers, the use of non-coherent detection is favored over usual coherent techniques that require complex channel estimation. In this paper, a deep-learning approach to implement non-coherent mu...

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Auteurs principaux: Omnia Mahmoud, Ahmed El-Sayed El-Mahdy, Robert F. H. Fischer
Format: article
Langue:EN
Publié: IEEE 2021
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Accès en ligne:https://doaj.org/article/076884676cff42f6af42902f0fa5a644
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