69 citations · 119 across the 46 of their papers we have counts for
21 papers · 1 filter
RF-Agent: Hierarchical Language-Agent Control for Instruction-Conditioned Active Spectrum Sensing
Hao Zhang, Dongfang Xu, Hang Zou +7
Active radio-frequency (RF) sensing must acquire evidence under receiver limits while following confirmation, recovery, and stopping instructions. \newhl{We propose RF-Agent, a clo…
Sensing-Aided Channel Estimation for Near-Field MIMO ISAC Systems via Cross-Attention Transformer
Peihao Dong, Renbin Li, Shen Gao +4
Near-field integrated sensing and communication (ISAC) can deliver the high spatial resolution and transmission capability with the shared spectrum and hardware. Due to the partial…
Explainable Deep Learning Based Adversarial Defense for Automatic Modulation Classification
Peihao Dong, Jingchun Wang, Shen Gao +2
Deep learning (DL) has been widely applied to enhance automatic modulation classification (AMC). However, the elaborate AMC neural networks are susceptible to various adversarial a…
Distributed Multi-Task Learning for Joint Wireless Signal Enhancement and Recognition
Hao Zhang, Fuhui Zhou, Qihui Wu +1
Wireless signal recognition (WSR) is crucial in modern and future wireless communication networks since it aims to identify the properties of the received signal in a no-collaborat…
Spectrum Cognition: Semantic Situation for Next-Generation Spectrum Management
Hao Zhang, Fuhui Zhou, Qihui Wuand Chau Yuen
In response to the growing complexity and demands of future wireless communication networks, spectrum cognition has emerged as an essential technique for optimizing spectrum utiliz…
SpectrumFM: Redefining Spectrum Cognition via Foundation Modeling
Chunyu Liu, Hao Zhang, Wei Wu +4
The enhancement of spectrum efficiency and the realization of secure spectrum utilization are critically dependent on spectrum cognition. However, existing spectrum cognition metho…
Joint Resource Optimization Over Licensed and Unlicensed Spectrum in Spectrum Sharing UAV Networks Against Jamming Attacks
Rui Ding, Fuhui Zhou, Yuhang Wu +2
Unmanned aerial vehicle (UAV) communication is of crucial importance in realizing heterogeneous practical wireless application scenarios. However, the densely populated users and d…
A Federated Learning-based Lightweight Network with Zero Trust for UAV Authentication
Hao Zhang, Fuhui Zhou, Wei Wang +2
Unmanned aerial vehicles (UAVs) are increasingly being integrated into next-generation networks to enhance communication coverage and network capacity. However, the dynamic and mob…
SpectrumFM: A Foundation Model for Intelligent Spectrum Management
Fuhui Zhou, Chunyu Liu, Hao Zhang +4
Intelligent spectrum management is crucial for improving spectrum efficiency and achieving secure utilization of spectrum resources. However, existing intelligent spectrum manageme…
Revolution of Wireless Signal Recognition for 6G: Recent Advances, Challenges and Future Directions
Hao Zhang, Fuhui Zhou, Hongyang Du +2
Wireless signal recognition (WSR) is a crucial technique for intelligent communications and spectrum sharing in the next six-generation (6G) wireless communication networks. It can…
UAV Cognitive Semantic Communications Enabled by Knowledge Graph for Robust Object Detection
Xi Song, Fuhui Zhou, Rui Ding +4
Unmanned aerial vehicles (UAVs) are widely used for object detection. However, the existing UAV-based object detection systems are subject to severe challenges, namely, their limit…
Pruned Convolutional Attention Network Based Wideband Spectrum Sensing with Sub-Nyquist Sampling
Peihao Dong, Jibin Jia, Shen Gao +2
Wideband spectrum sensing (WSS) is critical for orchestrating multitudinous wireless transmissions via spectrum sharing, but may incur excessive costs of hardware, power and comput…
Information Importance-Aware Defense against Adversarial Attack for Automatic Modulation Classification:An XAI-Based Approach
Jingchun Wang, Peihao Dong, Fuhui Zhou +1
Deep learning (DL) has significantly improved automatic modulation classification (AMC) by leveraging neural networks as the feature extractor.However, as the DL-based AMC becomes…
FSOS-AMC: Few-Shot Open-Set Learning for Automatic Modulation Classification Over Multipath Fading Channels
Hao Zhang, Fuhui Zhou, Qihui Wu +1
Automatic modulation classification (AMC) plays a vital role in advancing future wireless communication networks. Although deep learning (DL)-based AMC frameworks have demonstrated…
Edge Learning Based Collaborative Automatic Modulation Classification for Hierarchical Cognitive Radio Networks
Peihao Dong, Chaowei He, Shen Gao +2
In hierarchical cognitive radio networks, edge or cloud servers utilize the data collected by edge devices for modulation classification, which, however, is faced with problems of…
Co-learning-aided Multi-modal-deep-learning Framework of Passive DOA Estimators for a Heterogeneous Hybrid Massive MIMO Receiver
Jiatong Bai, Feng Shu, Qinghe Zheng +5
Due to its excellent performance in rate and resolution, fully-digital (FD) massive multiple-input multiple-output (MIMO) antenna arrays has been widely applied in data transmissio…
SSwsrNet: A Semi-Supervised Few-Shot Learning Framework for Wireless Signal Recognition
Hao Zhang, Fuhui Zhou, Qihui Wu +1
Wireless signal recognition (WSR) is crucial in modern and future wireless communication networks since it aims to identify properties of the received signal. Although many deep le…
KGAMC: A Novel Knowledge Graph Driven Automatic Modulation Classification Scheme
Yike Li, Lu Yua, Fuhui Zhou +3
Automatic modulation classification (AMC) is a promising technology to realize intelligent wireless communications in the sixth generation (6G) wireless communication networks. Rec…
Knowledge Graph Driven UAV Cognitive Semantic Communication Systems for Efficient Object Detection
Xi Song, Lu Yuan, Zhibo Qu +4
Unmanned aerial vehicles (UAVs) are widely used for object detection. However, the existing UAV-based object detection systems are subject to the serious challenge, namely, the fin…
Novel Online-Offline MA2C-DDPG for Efficient Spectrum Allocation and Trajectory Optimization in Dynamic Spectrum Sharing UAV Networks
Rui Ding, Fuhui Zhou, Yuben Qu +3
Unmanned aerial vehicle (UAV) communication is of crucial importance for diverse practical applications. However, it is susceptible to the severe spectrum scarcity problem and inte…
Data-and-Knowledge Dual-Driven Automatic Modulation Recognition for Wireless Communication Networks
Rui Ding, Hao Zhang, Fuhui Zhou +2
Automatic modulation classification is of crucial importance in wireless communication networks. Deep learning based automatic modulation classification schemes have attracted exte…