Web: http://arxiv.org/abs/2209.10332

Sept. 22, 2022, 1:11 a.m. | Jeonghyeon Jang, Hoon Lee, Il-Min Kim, Inkyu Lee

cs.LG updates on arXiv.org arxiv.org

In conventional multi-user multiple-input multiple-output (MU-MIMO) systems
with frequency division duplexing (FDD), channel acquisition and precoder
optimization processes have been designed separately although they are highly
coupled. This paper studies an end-to-end design of downlink MU-MIMO systems
which include pilot sequences, limited feedback, and precoding. To address this
problem, we propose a novel deep learning (DL) framework which jointly
optimizes the feedback information generation at users and the precoder design
at a base station (BS). Each procedure in the MU-MIMO …

arxiv deep learning design feedback pilot systems

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