output
19982026
most citedMemory Metamaterials

862 citations

Showing cs.ITShow all

7 papers · 1 filter

cs.IT2021

Learning Robust Beamforming for MISO Downlink Systems

Junbeom Kim, Hoon Lee, Seok-Hwan Park

This paper investigates a learning solution for robust beamforming optimization in downlink multi-user systems. A base station (BS) identifies efficient multi-antenna transmission…

cs.IT2020★ 43 cited

Multi-Agent Deep Reinforcement Learning for Distributed Resource Management in Wirelessly Powered Communication Networks

Sangwon Hwang, Hanjin Kim, Hoon Lee +1

This paper studies multi-agent deep reinforcement learning (MADRL) based resource allocation methods for multi-cell wireless powered communication networks (WPCNs) where multiple h…

cs.IT2020★ 66 cited

Deep Learning Methods for Universal MISO Beamforming

Junbeom Kim, Hoon Lee, Seung-Eun Hong +1

This letter studies deep learning (DL) approaches to optimize beamforming vectors in downlink multi-user multi-antenna systems that can be universally applied to arbitrarily given…

cs.IT2019

A Deep Learning Approach to Universal Binary Visible Light Communication Transceiver

Hoon Lee, Tony Q. S. Quek, Sang Hyun Lee

This paper studies a deep learning (DL) framework for the design of binary modulated visible light communication (VLC) transceiver with universal dimming support. The dimming contr…

cs.IT2019★ 49 cited

Simultaneous Wireless Information and Power Transfer for Decode-and-Forward Multi-Hop Relay Systems in Energy-Constrained IoT Networks

Derek Kwaku Pobi Asiedu, Hoon Lee, Kyoung-Jae Lee

This paper studies a multi-hop decode-and-forward (DF) simultaneous wireless information and power transfer (SWIPT) system where a source sends data to a destination with the aid o…

cs.IT2014★ 2 cited

MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer: Weighted MMSE Approaches

Changick Song, Cong Ling, Jaehyun Park +1

We consider simultaneous wireless information and power transfer (SWIPT) in MIMO Broadcast networks where one energy harvesting (EH) user and one information decoding (ID) user sha…

cs.IT2014

Multi-user Linear Precoding for Multi-polarized Massive MIMO System under Imperfect CSIT

Jaehyun Park, Bruno Clerckx

The space limitation and the channel acquisition prevent Massive MIMO from being easily deployed in a practical setup. Motivated by current deployments of LTE-Advanced, the use of…