32 citations · 54 across the 16 of their papers we have counts for
16 papers
Explainable AI for Next-Generation Wireless Physical Layer: Basics, State-of-the-Art, and Open Challenges
Bingnan Xiao, Shuyan Hu, Xiaojing Chen +5
Next-generation wireless systems are expected to be ``AI-native," with neural networks (NNs) embedded throughout the physical (PHY) layer protocol stack to improve spectral efficie…
Spectral-Convergent Decentralized Machine Learning: Theory and Application in Space Networks
Zhiyuan Zhai, Shuyan Hu, Wei Ni +2
Decentralized machine learning (DML) supports collaborative training in large-scale networks with no central server. It is sensitive to the quality and reliability of inter-device…
Undermining Federated Learning Accuracy in EdgeIoT via Variational Graph Auto-Encoders
Kai Li, Shuyan Hu, Bochun Wu +3
EdgeIoT represents an approach that brings together mobile edge computing with Internet of Things (IoT) devices, allowing for data processing close to the data source. Sending sour…
Failure Analysis in Next-Generation Critical Cellular Communication Infrastructures
Siguo Bi, Xin Yuan, Shuyan Hu +4
The advent of communication technologies marks a transformative phase in critical infrastructure construction, where the meticulous analysis of failures becomes paramount in achiev…
Detection and Mitigation of Position Spoofing Attacks on Cooperative UAV Swarm Formations
Siguo Bi, Kai Li, Shuyan Hu +3
Detecting spoofing attacks on the positions of unmanned aerial vehicles (UAVs) within a swarm is challenging. Traditional methods relying solely on individually reported positions…
OFDMA-FL: Federated Learning With Flexible Aggregation Over an OFDMA Air Interface
Shuyan Hu, Xin Yuan, Wei Ni +3
Federated learning (FL) can suffer from a communication bottleneck when deployed in mobile networks, limiting participating clients and deterring FL convergence. The impact of prac…
Towards Quantum-Native Communication Systems: State-of-the-Art, Trends, and Challenges
Xiaolin Zhou, Anqi Shen, Shuyan Hu +3
The potential synergy between quantum communications and future wireless communication systems is explored. By proposing a quantum-native or quantum-by-design philosophy, the surve…
RIS-Assisted Jamming Rejection and Path Planning for UAV-Borne IoT Platform: A New Deep Reinforcement Learning Framework
Shuyan Hu, Xin Yuan, Wei Ni +2
This paper presents a new deep reinforcement learning (DRL)-based approach to the trajectory planning and jamming rejection of an unmanned aerial vehicle (UAV) for the Internet-of-…
Learning-based Intelligent Surface Configuration, User Selection, Channel Allocation, and Modulation Adaptation for Jamming-resisting Multiuser OFDMA Systems
Xin Yuan, Shuyan Hu, Wei Ni +2
Reconfigurable intelligent surfaces (RISs) can potentially combat jamming attacks by diffusing jamming signals. This paper jointly optimizes user selection, channel allocation, mod…
Trajectory Planning of Cellular-Connected UAV for Communication-assisted Radar Sensing
Shuyan Hu, Xin Yuan, Wei Ni +1
Being a key technology for beyond fifth-generation wireless systems, joint communication and radar sensing (JCAS) utilizes the reflections of communication signals to detect foreig…
Joint Optimization of Trajectory, Propulsion and Thrust Powers for Covert UAV-on-UAV Video Tracking and Surveillance
Shuyan Hu, Wei Ni, Xin Wang +2
Autonomous tracking of suspicious unmanned aerial vehicles (UAVs) by legitimate monitoring UAVs (or monitors) can be crucial to public safety and security. It is non-trivial to opt…
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications
S. Hu, X. Chen, W. Ni +2
Distributed machine learning (DML) techniques, such as federated learning, partitioned learning, and distributed reinforcement learning, have been increasingly applied to wireless…
Energy Management and Trajectory Optimization for UAV-Enabled Legitimate Monitoring Systems
Shuyan Hu, Qingqing Wu, Xin Wang
Thanks to their quick placement and high flexibility, unmanned aerial vehicles (UAVs) can be very useful in the current and future wireless communication systems. With a growing nu…
Modeling and Analysis of Energy Harvesting and Smart Grid-Powered Wireless Communication Networks: A Contemporary Survey
Shuyan Hu, Xiaojing Chen, Wei Ni +2
The advancements in smart power grid and the advocation of ``green communications'' have inspired the wireless communication networks to harness energy from ambient environments an…
Distributed Coordinated Multicell Beamforming for Wireless Cellular Networks Powered by Renewables: A Stochastic ADMM Approach
Shuyan Hu, Chongbin Xu, Xin Wang +2
The integration of renewable energy sources (RES) has facilitated efficient and sustainable resource allocation for wireless communication systems. In this paper, a novel framework…
Robust Smart-Grid Powered Cooperative Multipoint Systems
Xin Wang, Yu Zhang, Georgios B. Giannakis +1
A framework is introduced to integrate renewable energy sources (RES) and dynamic pricing capabilities of the smart grid into beamforming designs for coordinated multi-point (CoMP)…