no code implementations • 21 Sep 2022 • Jeonghyeon Jang, Hoon Lee, Il-Min Kim, Inkyu Lee
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).
no code implementations • 5 Jan 2022 • Zhengyu Zhu, Zheng Li, Zheng Chu, Gangcan Sun, Wanming Hao, Pei Xiao, Inkyu Lee
By jointly designing the radar signal covariance (RSC) matrix, the beamforming vector of the communication system, and the IRS phase shift, the ISAC system transmission rate can be improved while matching the desired waveform for radar.
no code implementations • 27 Sep 2021 • Minseok Kim, Hoon Lee, Hongju Lee, Inkyu Lee
This paper studies a deep learning approach for binary assignment problems in wireless networks, which identifies binary variables for permutation matrices.
no code implementations • 19 Dec 2019 • Jeonghyeon Jang, Hoon Lee, Sangwon Hwang, Haibao Ren, Inkyu Lee
We study a deep learning (DL) based limited feedback methods for multi-antenna systems.
no code implementations • 13 Dec 2018 • Hoon Lee, Sang Hyun Lee, Tony Q. S. Quek, Inkyu Lee
Optical wireless communication (OWC) is a promising technology for future wireless communications owing to its potentials for cost-effective network deployment and high data rate.
