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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE journal on selected areas in communications Vol. 38; no. 8; pp. 1678 - 1697
Main Authors:	Bashar, Manijeh, Akbari, Ali, Cumanan, Kanapathippillai, Ngo, Hien Quoc, Burr, Alister G., Xiao, Pei, Debbah, Merouane, Kittler, Josef
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.08.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Series:	Lecture Notes in Computer Science
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!