54 citations · 54 across the 3 of their papers we have counts for
3 papers
Demonstrating Interoperable Channel State Feedback Compression with Machine Learning
Dani Korpi, Rachel Wang, Jerry Wang +20
Neural network-based compression and decompression of channel state feedback has been one of the most widely studied applications of machine learning (ML) in wireless networks. Var…
Key Focus Areas and Enabling Technologies for 6G
Christopher G. Brinton, Mung Chiang, Kwang Taik Kim +14
We provide a taxonomy of a dozen enabling network architectures, protocols, and technologies that will define the evolution from 5G to 6G. These technologies span the network proto…
6G Takes Shape
Jeffrey G. Andrews, Todd E. Humphreys, Tingfang Ji
The contours of 6G -- its key technical components and driving requirements -- are finally coming into focus. Through twenty questions and answers, this article defines the importa…