activity
20232026
most citedFederated Deep Reinforcement Learning for THz-Beam Search with Limited CSI

12 citations · 27 across the 18 of their papers we have counts for

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7 papers · 1 filter

eess.SP2026

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…

eess.SP2026

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 (…

eess.SP2026

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…

eess.SP2025

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…

eess.SP2025

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…

eess.SP20254 cited

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…