124 citations · 564 across the 28 of their papers we have counts for
3 papers · 1 filter
Deep Learning-based Limited Feedback Designs for MIMO Systems
Jeonghyeon Jang, Hoon Lee, Sangwon Hwang +2
We study a deep learning (DL) based limited feedback methods for multi-antenna systems. Deep neural networks (DNNs) are introduced to replace an end-to-end limited feedback procedu…
Joint Design of Fronthauling and Hybrid Beamforming for Downlink C-RAN Systems
Jaein Kim, Seok-Hwan Park, Osvaldo Simeone +2
Hybrid beamforming is known to be a cost-effective and wide-spread solution for a system with large-scale antenna arrays. This work studies the optimization of the analog and digit…
Online Reinforcement Learning of X-Haul Content Delivery Mode in Fog Radio Access Networks
Jihwan Moon, Osvaldo Simeone, Seok-Hwan Park +1
We consider a Fog Radio Access Network (F-RAN) with a Base Band Unit (BBU) in the cloud and multiple cache-enabled enhanced Remote Radio Heads (eRRHs). The system aims at deliverin…