Unsupervised Learning for Reference Signals Overhead Reduction in 3GPP MIMO Systems

Unsupervised Learning for Reference Signals Overhead Reduction in 3GPP MIMO Systems

The unprecedented increase in the number of wireless-connected devices requires novel solutions to improve the data rate at low latency. Reference signals overhead reduction is a powerful way to increase the data rates. However, excessive reduction in the number of reference signals degrades the cha...

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Bibliographic Details
Main Authors: Omar M. Sleem, Mohamed Salah Ibrahim, Akshay Malhotra, Mihaela Beluri, Constantino M. Lagoa
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Machine Learning in Communications and Networking
Subjects:
Canonical correlation analysis
machine learning (ML)
unsupervised learning
3GPP
5G NR
identifiability
Online Access:https://ieeexplore.ieee.org/document/10356089/
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