190 citations · 232 across the 20 of their papers we have counts for
20 papers
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…
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…
VAFER: Signal Decomposition based Mutual Interference Suppression in FMCW Radars
Abhilash Gaur, Po-Hsuan Tseng, Kai-Ten Feng +1
With increasing application of frequency-modulated continuous wave (FMCW) radars in autonomous vehicles, mutual interference among FMCW radars poses a serious threat. Through this…
BTS: Bifold Teacher-Student in Semi-Supervised Learning for Indoor Two-Room Presence Detection Under Time-Varying CSI
Li-Hsiang Shen, An-Hung Hsiao, Kai-Jui Chen +2
In recent years, indoor human presence detection based on supervised learning (SL) and channel state information (CSI) has attracted much attention. However, existing studies that…
Five Facets of 6G: Research Challenges and Opportunities
Li-Hsiang Shen, Kai-Ten Feng, Lajos Hanzo
Whilst the fifth-generation (5G) systems are being rolled out across the globe, researchers have turned their attention to the exploration of radical next-generation solutions. At…
CRONOS: Colorization and Contrastive Learning for Device-Free NLoS Human Presence Detection using Wi-Fi CSI
Li-Hsiang Shen, Chia-Che Hsieh, An-Hung Hsiao +1
In recent years, the demand for pervasive smart services and applications has increased rapidly. Device-free human detection through sensors or cameras has been widely adopted, but…
MARS: Message Passing for Antenna and RF Chain Selection for Hybrid Beamforming in MIMO Communication Systems
Li-Hsiang Shen, Yen-Chun Lo, Kai-Ten Feng +2
In this paper, we consider a prospective receiving hybrid beamforming structure consisting of several radio frequency (RF) chains and abundant antenna elements in multi-input multi…
CoMP Enhanced Subcarrier and Power Allocation for Multi-Numerology based 5G-NR Networks
Li-Hsiang Shen, Chia-Yu Su, Kai-Ten Feng
With proliferation of fifth generation (5G) new radio (NR) technology, it is expected to meet the requirement of diverse traffic demands. We have designed a coordinated multi-point…
Hybrid Controlled User Association and Resource Management for Energy-Efficient Green RANs with Limited Fronthaul
Li-Hsiang Shen, Chia-Lin Tsai, Chia-Yu Wang +1
To alleviate green house effect, high network energy efficiency (EE) has increasingly become an important research target in wireless green communications. Therefore, the investiga…
CoMP-Enhanced Flexible Functional Split for Mixed Services in Beyond 5G Wireless Networks
Li-Hsiang Shen, Yung-Ting Huang, Kai-Ten Feng
With explosively escalating service demands, beyond fifth generation (B5G) aims to realize various requirements for multi-service networks, i.e., higher performance of mixed enhanc…
Spatio-Temporal Federated Learning for Massive Wireless Edge Networks
Chun-Hung Liu, Kai-Ten Feng, Lu Wei +1
This paper presents a novel approach to conduct highly efficient federated learning (FL) over a massive wireless edge network, where an edge server and numerous mobile devices (cli…