2 citations · 2 across the 9 of their papers we have counts for
10 papers
Micro-Doppler Sensing for UAV Flight-State Estimation in ISAC Networks
Henglin Pu, Lu Su, Zhu Han +2
Integrated sensing and communication (ISAC) provides a promising foundation for low-altitude unmanned aerial vehicle (UAV) monitoring. However, most existing studies focus primaril…
Blind OFDM-ISAC Relying on Asymmetric Modem Constellations
Henglin Pu, Ahmad Musallam, Husheng Li +1
Integrated sensing and communication (ISAC) is increasingly expected to operate under aggressive spectrum reuse, where co-channel orthogonal frequency division multiplexing (OFDM)…
Virtualizing the Senses: Enabling High-Precision ISAC on Commercial Cellular Infrastructure
Henglin Pu, Husheng Li
Integrated sensing and communication (ISAC) is poised to be a defining feature of 6G networks, promising to transform cellular base stations (BSs) into ubiquitous radar sensors. Ho…
Safe Continuous-time Multi-Agent Reinforcement Learning via Epigraph Form
Xuefeng Wang, Lei Zhang, Henglin Pu +2
Multi-agent reinforcement learning (MARL) has made significant progress in recent years, but most algorithms still rely on a discrete-time Markov Decision Process (MDP) with fixed…
Space-Time-Frequency Synthetic Integrated Sensing and Communication Networks
Henglin Pu, Xuefeng Wang, Lu Su +1
Integrated sensing and communication (ISAC) promises high spectral and power efficiencies by sharing waveforms, spectrum, and hardware across sensing and data links. Yet commercial…
Wideband Integrated Sensing and Communications: Spectral Efficiency and Signaling Design
Henglin Pu, Zhu Han, Athina P. Petropulu +1
In integrated sensing and communications (ISAC), a distinguishing feature of 6G wireless networks, the main challenge lies in integrating the two distinct functions of sensing and…
Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
Xuefeng Wang, Lei Zhang, Henglin Pu +2
Existing reinforcement learning (RL) methods struggle with complex dynamical systems that demand interactions at high frequencies or irregular time intervals. Continuous-time RL (C…
Trellis Waveform Shaping for Sidelobe Reduction in Integrated Sensing and Communications: A Duality with PAPR Mitigation
Henglin Pu, Husheng Li, Zhu Han +1
A key challenge in integrated sensing and communications (ISAC) is the synthesis of waveforms that can modulate communication messages and achieve good sensing performance simultan…
OTFS-ISAC System with Sub-Nyquist ADC Sampling Rate
Henglin Pu, Xuefeng Wang, Ajay Kumar +2
Integrated sensing and communication (ISAC) has emerged as a pivotal technology for next-generation wireless communication and radar systems, enabling high-resolution sensing and h…
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
Xuefeng Wang, Henglin Pu, Hyung Jun Kim +1
Safe Multi-agent reinforcement learning (safe MARL) has increasingly gained attention in recent years, emphasizing the need for agents to not only optimize the global return but al…