7 papers
Inverse-Reinforcement Learning Enabled Digital Twin for Intent-based Drone Networks
Jiahao Wang, Ruimin Yang, Hanzhi Yu +2
In this paper, the problem of the trajectory design for an intent-based drone operating in resource-constrained, dynamic wireless network environments is studied. In the considered…
Compressive Beam-Pattern-Aware Near-field Beam Training via Total Variation Denoising
Zijun Wang, Maria Nivetha A, Ye Hu +1
Extremely large antenna arrays envisioned for 6G incurs near-field effect, where steering vector depends on angles and range simultaneously. Polar-domain near-field codebooks can f…
Optimization of Private Semantic Communication Performance: An Uncooperative Covert Communication Method
Wenjing Zhang, Ye Hu, Tao Luo +2
In this paper, a novel covert semantic communication framework is investigated. Within this framework, a server extracts and transmits the semantic information, i.e., the meaning o…
Resilient Vehicular Communications under Imperfect Channel State Information
Tingyu Shui, Walid Saad, Ye Hu +1
Cellular vehicle-to-everything (C-V2X) networks provide a promising solution to improve road safety and traffic efficiency. One key challenge in such systems lies in meeting qualit…
RIS-Assisted Passive Localization (RAPL): An Efficient Zero-Overhead Framework Using Conditional Sample Mean
Jiawei Yao, Yijie Mao, Mingzhe Chen +1
Reconfigurable Intelligent Surface (RIS) has been recognized as a promising solution for enhancing localization accuracy. Traditional RIS-based localization methods typically rely…
Continual Reinforcement Learning for Digital Twin Synchronization Optimization
Haonan Tong, Mingzhe Chen, Jun Zhao +4
This article investigates the adaptive resource allocation scheme for digital twin (DT) synchronization optimization over dynamic wireless networks. In our considered model, a base…