12 citations · 13 across the 11 of their papers we have counts for
11 papers
Multi-Agent Deep Reinforcement Learning for Energy Efficient Multi-Hop STAR-RIS-Assisted Transmissions
Pei-Hsiang Liao, Li-Hsiang Shen, Po-Chen Wu +1
Simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) provides a promising way to expand coverage in wireless communications. However, limitation…
AI-Enabled Unmanned Vehicle-Assisted Reconfigurable Intelligent Surfaces: Deployment, Prototyping, Experiments, and Opportunities
Li-Hsiang Shen, Kai-Ten Feng, Ta-Sung Lee +4
The requirement of wireless data demands is increasingly high as the sixth-generation (6G) technology evolves. Reconfigurable intelligent surface (RIS) is promisingly deemed to be…
Downlink Rate Maximization with Reconfigurable Intelligent Surface Assisted Full-Duplex Transmissions
Li-Hsiang Shen, Chia-Jou Ku, Kai-Ten Feng
Reconfigurable intelligent surfaces (RIS) as an effective technique for intelligently manipulating channel paths through reflection to serve desired users. Full-duplex (FD) systems…
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…
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…
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.…