190 citations · 247 across the 31 of their papers we have counts for
32 papers
Energy Efficient Active Stacked Intelligent Metasurfaces
Li-Hsiang Shen
This paper investigates an energy-efficient active stacked intelligent metasurfaces (ASIM)-assisted downlink transmission framework, where a multi-antenna base station (BS) serves…
FSIM: Fluid Element Stacked Intelligent Metasurface for Multiuser Downlink Networks
Tsung-Yu Wei, Li-Hsiang Shen, Kai-Ten Feng +1
A fluid element (FE)-aided stacked intelligent metasurface (FSIM) for multiple-input single-output (MISO) communication system is investigated, where a multi-antenna base station (…
Parametrized Sharing for Multi-Agent Hybrid DRL for Multiple Multi-Functional RISs-Aided Downlink NOMA Networks
Chi-Te Kuo, Li-Hsiang Shen, Jyun-Jhe Huang
Multi-functional reconfigurable intelligent surface (MF-RIS) is conceived to address the communication efficiency thanks to its extended signal coverage from its active RIS capabil…
6D Movable Metasurface (6DMM) in Downlink NOMA Transmissions
Li-Hsiang Shen
This letter proposes a novel six-dimensional movable metasurface (6DMM)-assisted downlink non-orthogonal multiple access (NOMA) system, in which a conventional base station (BS) eq…
Liquid Intelligent Metasurface for Fluid Antennas-Assisted Networks
Li-Hsiang Shen
This paper proposes a novel liquid intelligent metasurface (LIM)-assisted downlink multi-user multiple-input single-output (MISO) system, wherein both the base station (BS) and the…
Joint Active and Passive Beamforming for Energy-Efficient STARS with Quantization and Element Selection in ISAC Systems
Li-Hsiang Shen, Yi-Hsuan Chiu
This paper investigates a simultaneously transmitting and reflecting reconfigurable intelligent surface (STARS)-aided integrated sensing and communication (ISAC) systems in support…
Multi-Functional RIS-Enabled in SAGIN for IoT: A Hybrid Deep Reinforcement Learning Approach with Compressed Twin-Models
Li-Hsiang Shen, Jyun-Jhe Huang
A space-air-ground integrated network (SAGIN) for Internet of Things (IoT) network architecture is investigated, empowered by multi-functional reconfigurable intelligent surfaces (…
Federated Deep Reinforcement Learning for Energy Efficient Multi-Functional RIS-Assisted Low-Earth Orbit Networks
Li-Hsiang Shen, Jyun-Jhe Huang, Kai-Ten Feng +2
In this paper, a novel network architecture that deploys the multi-functional reconfigurable intelligent surface (MF-RIS) in low-Earth orbit (LEO) is proposed. Unlike traditional R…
RIS-Aided Fluid Antenna Array-Mounted UAV Networks
Li-Hsiang Shen, Yi-Hsuan Chiu
This paper investigates reconfigurable intelligent surface (RIS)-assisted unmanned aerial vehicle (UAV) downlink networks with fluid antennas (FA), where RIS enables non-line-of-si…
Energy Efficient Beamforming Training in Terahertz Communication Systems
Li-Hsiang Shen, Kai-Ten Feng, Lie-Liang Yang
Terahertz (THz) enables promising Tbps-level wireless transmission thanks to its prospect of ultra-huge spectrum utilization and narrow beamforming in the next sixth-generation (6G…
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…
D-STAR: Dual Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces for Joint Uplink/Downlink Transmission
Li-Hsiang Shen, Po-Chen Wu, Chia-Jou Ku +4
The joint uplink/downlink (JUD) design of simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) is conceived in support of both uplink (UL) and…
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…
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.…
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…
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…
WiRiS: Transformer for RIS-Assisted Device-Free Sensing for Joint People Counting and Localization using Wi-Fi CSI
Wei-Yu Chung, Li-Hsiang Shen, Kai-Ten Feng +3
Channel State Information (CSI) is widely adopted as a feature for indoor localization. Taking advantage of the abundant information from the CSI, people can be accurately sensed e…
Attention-based Learning for Sleep Apnea and Limb Movement Detection using Wi-Fi CSI Signals
Chi-Che Chang, An-Hung Hsiao, Li-Hsiang Shen +2
Wi-Fi channel state information (CSI) has become a promising solution for non-invasive breathing and body motion monitoring during sleep. Sleep disorders of apnea and periodic limb…
A New Paradigm for Device-free Indoor Localization: Deep Learning with Error Vector Spectrum in Wi-Fi Systems
Wen Liu, An-Hung Hsiao, Li-Hsiang Shen +1
The demand for device-free indoor localization using commercial Wi-Fi devices has rapidly increased in various fields due to its convenience and versatile applications. However, ra…
Distributed Multi-Agent Deep Q-Learning for Fast Roaming in IEEE 802.11ax Wi-Fi Systems
Ting-Hui Wang, Li-Hsiang Shen, Kai-Ten Feng
The innovation of Wi-Fi 6, IEEE 802.11ax, was be approved as the next sixth-generation (6G) technology of wireless local area networks (WLANs) by improving the fundamental performa…
Intelligent Load Balancing and Resource Allocation in O-RAN: A Multi-Agent Multi-Armed Bandit Approach
Chia-Hsiang Lai, Li-Hsiang Shen, Kai-Ten Feng
The open radio access network (O-RAN) architecture offers a cost-effective and scalable solution for internet service providers to optimize their networks using machine learning al…