60 citations · 73 across the 46 of their papers we have counts for
14 papers · 1 filter
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…
IRS-Enhanced Secure Semantic Communication Networks: Cross-Layer and Context-Awared Resource Allocation
Lingyi Wang, Wei Wu, Fuhui Zhou +2
Learning-task oriented semantic communication is pivotal in optimizing transmission efficiency by extracting and conveying essential semantics tailored to specific tasks, such as i…
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…
Collaborative Automatic Modulation Classification via Deep Edge Inference for Hierarchical Cognitive Radio Networks
Chaowei He, Peihao Dong, Fuhui Zhou +1
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…
Federated Transfer Learning Based Cooperative Wideband Spectrum Sensing with Model Pruning
Jibin Jia, Peihao Dong, Fuhui Zhou +1
For ultra-wideband and high-rate wireless communication systems, wideband spectrum sensing (WSS) is critical, since it empowers secondary users (SUs) to capture the spectrum holes…
Spectrum Prediction With Deep 3D Pyramid Vision Transformer Learning
Guangliang Pan, Qihui Wu, Bo Zhou +4
In this paper, we propose a deep learning (DL)-based task-driven spectrum prediction framework, named DeepSPred. The DeepSPred comprises a feature encoder and a task predictor, whe…
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…
Interference Analysis for Coexistence of UAVs and Civil Aircrafts Based on Automatic Dependent Surveillance-Broadcast
Yiyang Liao, Ziye Jia, Chao Dong +4
Due to the advantages of high mobility and easy deployment, unmanned aerial vehicles (UAVs) are widely applied in both military and civilian fields. In order to strengthen the flig…
Cooperative Cognitive Dynamic System in UAV Swarms: Reconfigurable Mechanism and Framework
Ziye Jia, Jiahao You, Chao Dong +4
As the demands for immediate and effective responses increase in both civilian and military domains, the unmanned aerial vehicle (UAV) swarms emerge as effective solutions, in whic…
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…
Sparse Bayesian Learning-Based Hierarchical Construction for 3D Radio Environment Maps Incorporating Channel Shadowing
Wang Jie, Zhu Qiuming, Lin Zhipeng +5
The radio environment map (REM) visually displays the spectrum information over the geographical map and plays a significant role in monitoring, management, and security of spectru…
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…