57 citations · 100 across the 8 of their papers we have counts for
10 papers · 1 filter
Sum Secrecy Rate Maximization for IRS-aided Multi-Cluster MIMO-NOMA Terahertz Systems
Jinlei Xu, Zhengyu Zhu, Zheng Chu +3
Intelligent reflecting surface (IRS) is a promising technique to extend the network coverage and improve spectral efficiency. This paper investigates an IRS-assisted terahertz (THz…
Deep Learning for Multi-User MIMO Systems: Joint Design of Pilot, Limited Feedback, and Precoding
Jeonghyeon Jang, Hoon Lee, Il-Min Kim +1
In conventional multi-user multiple-input multiple-output (MU-MIMO) systems with frequency division duplexing (FDD), channel acquisition and precoder optimization processes have be…
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…
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…
AN-aided Secure Transmission in Multi-user MIMO SWIPT Systems
Zhengyu Zhu, Ning Wang, Zheng Chu +2
In this paper, an energy harvesting scheme for a multi-user multiple-input-multiple-output (MIMO) secrecy channel with artificial noise (AN) transmission is investigated. Joint opt…