7 citations · 9 across the 14 of their papers we have counts for
14 papers
SateBeam: Beam-Aware Radio Map Estimation With Physics-Consistent Parametric Modeling for Unknown Multiple Satellites
Xiucheng Wang, Nan Cheng, Zhisheng Yin +2
Dense low-Earth-orbit (LEO) networks increasingly reuse spectrum across moving satellites and overlapping beams, making a spatial radio map essential for interference diagnosis and…
Performance Analysis of End-to-End LEO Satellite-Aided Shore-to-Ship Communications: A Stochastic Geometry Approach
Xu Hu, Bin Lin, Xiao Lu +4
Low Earth orbit (LEO) satellite networks have shown strategic superiority in maritime communications, assisting in establishing signal transmissions from shore to ship through spac…
Heterogeneous Secure Transmissions in IRS-Assisted NOMA Communications: CO-GNN Approach
Linlin Liang, Zongkai Tian, Haiyan Huang +5
Intelligent Reflecting Surfaces (IRS) enhance spectral efficiency by adjusting reflection phase shifts, while Non-Orthogonal Multiple Access (NOMA) increases system capacity. Conse…
Anti-Intercept OFDM Waveform Design with Secure Coding for Satellite Networks
Zhisheng Yin, Yonghong Liu, Dongbo Li +4
Low Earth Orbit (LEO) satellite networks are integral to next-generation communication systems, providing global coverage, low latency, and minimal signal loss. However, their uniq…
ALWNN Empowered Automatic Modulation Classification: Conquering Complexity and Scarce Sample Conditions
Yunhao Quan, Chuang Gao, Nan Cheng +4
In Automatic Modulation Classification (AMC), deep learning methods have shown remarkable performance, offering significant advantages over traditional approaches and demonstrating…
RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction
Xiucheng Wang, Keda Tao, Nan Cheng +4
Radio map (RM) is a promising technology that can obtain pathloss based on only location, which is significant for 6G network applications to reduce the communication costs for pat…
Toward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges
Nan Cheng, Xiucheng Wang, Zan Li +3
This article presents a digital twin (DT)-enhanced reinforcement learning (RL) framework aimed at optimizing performance and reliability in network resource management, since the t…
Imperfect Digital Twin Assisted Low Cost Reinforcement Training for Multi-UAV Networks
Xiucheng Wang, Nan Cheng, Longfei Ma +3
Deep Reinforcement Learning (DRL) is widely used to optimize the performance of multi-UAV networks. However, the training of DRL relies on the frequent interactions between the UAV…
Label-free Deep Learning Driven Secure Access Selection in Space-Air-Ground Integrated Networks
Zhaowei Wang, Zhisheng Yin, Xiucheng Wang +3
In Space-air-ground integrated networks (SAGIN), the inherent openness and extensive broadcast coverage expose these networks to significant eavesdropping threats. Considering the…
Distilling Knowledge from Resource Management Algorithms to Neural Networks: A Unified Training Assistance Approach
Longfei Ma, Nan Cheng, Xiucheng Wang +3
As a fundamental problem, numerous methods are dedicated to the optimization of signal-to-interference-plus-noise ratio (SINR), in a multi-user setting. Although traditional model-…
Interpretable and Secure Trajectory Optimization for UAV-Assisted Communication
Yunhao Quan, Nan Cheng, Xiucheng Wang +3
Unmanned aerial vehicles (UAVs) have gained popularity due to their flexible mobility, on-demand deployment, and the ability to establish high probability line-of-sight wireless co…
Digital Twin-Assisted Efficient Reinforcement Learning for Edge Task Scheduling
Xiucheng Wang, Longfei Ma, Haocheng Li +3
Task scheduling is a critical problem when one user offloads multiple different tasks to the edge server. When a user has multiple tasks to offload and only one task can be transmi…
Green Interference Based Symbiotic Security in Integrated Satellite-terrestrial Communications
Zhisheng Yin, Nan Cheng, Tom H. Luan +2
In this paper, we investigate secure transmissions in integrated satellite-terrestrial communications and the green interference based symbiotic security scheme is proposed. Partic…
Cybertwin-enabled 6G Space-air-ground Integrated Networks: Architecture, Open Issue, and Challenges
Zhisheng Yin, Tom H. Luan, Nan Cheng +2
Space-air-ground integrated network (SAGIN) is considered as a core requirement in emerging 6G networks, which integrates the terrestrial and non-terrestrial networks to reach the…