Exploiting Deep Learning in Limited-Fronthaul Cell-Free Massive MIMO Uplink

A cell-free massive multiple-input multiple-output (MIMO) uplink is considered, where quantize-and-forward (QF) refers to the case where both the channel estimates and the received signals are quantized at the access points (APs) and forwarded to a central processing unit (CPU) whereas in combine-qu...

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Veröffentlicht in:	IEEE journal on selected areas in communications Jg. 38; H. 8; S. 1678 - 1697
Hauptverfasser:	Bashar, Manijeh, Akbari, Ali, Cumanan, Kanapathippillai, Ngo, Hien Quoc, Burr, Alister G., Xiao, Pei, Debbah, Merouane, Kittler, Josef
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schriftenreihe:	Lecture Notes in Computer Science
Schlagworte:	Artificial neural networks Bussgang decomposition cell-free massive MIMO Central Processing Unit Central processing units Channel estimation Computer Science convex optimization convolutional neural network CPUs Deep learning Fading Machine learning Mapping Massive MIMO Maximization MIMO (control systems) Optimization Power control Uplink
ISSN:	0733-8716, 1558-0008
Online-Zugang:	Volltext
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