9 citations · 15 across the 3 of their papers we have counts for
3 papers
eess.SP2026
Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target
Zhilin Fu, Sangmin Kim, Sangwon Hwang +4
In this paper, we study the power allocation for an integrated sensing and communication (ISAC) system which tracks a mobile target. We first model the problem as a Markov decision…
cs.IT2022★ 6 cited
A Codebook Design for FD-MIMO Systems with Multi-Panel Array
Zhilin Fu, Sangwon Hwang, Jihwan Moon +2
In this work, we study codebook designs for full-dimension multiple-input multiple-output (FD-MIMO) systems with a multi-panel array (MPA). We propose novel codebooks which allow p…
eess.SP2019★ 9 cited
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…