most citedFederated Deep Reinforcement Learning for THz-Beam Search with Limited CSI

12 citations · 12 across the 7 of their papers we have counts for

collaborators

11 papers

cs.LG2023

SALC: Skeleton-Assisted Learning-Based Clustering for Time-Varying Indoor Localization

An-Hung Hsiao, Li-Hsiang Shen, Chen-Yi Chang +2

Wireless indoor localization has attracted significant amount of attention in recent years. Using received signal strength (RSS) obtained from WiFi access points (APs) for establis…

cs.IT2023

Robust Active and Passive Beamforming for RIS-Assisted Full-Duplex Systems under Imperfect CSI

Li-Hsiang Shen, Chia-Jou Ku, Kai-Ten Feng

The sixth-generation (6G) wireless technology recognizes the potential of reconfigurable intelligent surfaces (RIS) as an effective technique for intelligently manipulating channel…

cs.AI202312 cited

Federated Deep Reinforcement Learning for THz-Beam Search with Limited CSI

Po-Chun Hsu, Li-Hsiang Shen, Chun-Hung Liu +1

Terahertz (THz) communication with ultra-wide available spectrum is a promising technique that can achieve the stringent requirement of high data rate in the next-generation wirele…

cs.LG2023

Edge Selection and Clustering for Federated Learning in Optical Inter-LEO Satellite Constellation

Chih-Yu Chen, Li-Hsiang Shen, Kai-Ten Feng +2

Low-Earth orbit (LEO) satellites have been prosperously deployed for various Earth observation missions due to its capability of collecting a large amount of image or sensor data.…

cs.AI2023

Time-Selective RNN for Device-Free Multi-Room Human Presence Detection Using WiFi CSI

Li-Hsiang Shen, An-Hung Hsiao, Fang-Yu Chu +1

Device-free human presence detection is a crucial technology for various applications, including home automation, security, and healthcare. While camera-based systems have traditio…

cs.LG2023

Attention-Enhanced Deep Learning for Device-Free Through-the-Wall Presence Detection Using Indoor WiFi Systems

Li-Hsiang Shen, An-Hung Hsiao, Kuan-I Lu +1

Accurate detection of human presence in indoor environments is important for various applications, such as energy management and security. In this paper, we propose a novel system…