Decentralized Beamforming for Cell-Free Massive MIMO With Unsupervised Learning
Author:
Affiliation:
1. Department of Electrical Engineering, Polytechnique Montreal, Montreal, QC, Canada
Funder
Fonds de Recherche du Qubec Nature et Technologies
Canadian Network for Research and Innovation in Machining Technology Natural Sciences and Engineering Research Council of Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/9771287/09729183.pdf?arnumber=9729183
Reference13 articles.
1. Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure [Lecture Notes]
2. Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems
3. RSSI-Based Hybrid Beamforming Design with Deep Learning
4. Hybrid Beamforming for Massive MIMO: A Survey
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