Federated Deep learning for CSI estimation in Massive MIMO environments

Submission Dates:
10/14/2022 to 10/24/2022
Citation Author(s):
Sibren
De Bast
KU Leuven
Sofie
Pollin
KU Leuven
Submitted by:
Shih-Chun Lin
Last updated:
Mon, 10/24/2022 - 04:43
DOI:
10.21227/7png-jb17
License:
Creative Commons Attribution
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Abstract 

Machine learning methods are poised to drastically improve the performance of many aspects of communication engineering, across all layers of the communication stack: from the physical layer to the application one.  In this competition, we focus on the problem of federated training of a deep CSI compressor for massive MIMO in 5G protocols and beyond.