60 citations · 73 across the 46 of their papers we have counts for
50 papers
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…
RASR: Range-Aware Scale Recovery for Metric UAV Navigation
Hongtao Liang, Xinyu Shao, Chenxu Wang +5
A central challenge in image-goal UAV navigation under Global Navigation Satellite System (GNSS) denial is estimating metric distance and heading between current and goal views. De…
Embodied Intelligent Spectrum Management: A New Paradigm for Dynamic Spectrum Access
Yihe Diao, Yuhang Wu, Hongtao Liang +5
Wireless communication is evolving into an agent era, where numerous intelligent agents equipped with perception, reasoning, and interaction capabilities will operate in highly dyn…
SDN-Blockchain Based Security Routing for UAV Communication via Reinforcement Learning
Yulu Han, Ziye Jia, Jingjing Zhao +3
The unmanned aerial vehicle (UAV) network plays important roles in emergency communications. However, it is challenging to design reliable routing strategies that ensure low latenc…
Knowledge-Driven 3D Semantic Spectrum Map: KE-VQ-Transformer Based UAV Semantic Communication and Map Completion
Wei Wu, Lingyi Wang, Fuhui Zhou +2
Artificial intelligence (AI)-native three-dimensional (3D) spectrum maps are crucial in spectrum monitoring for intelligent communication networks. However, it is challenging to ob…
Hierarchical Task Offloading and Trajectory Optimization in Low-Altitude Intelligent Networks Via Auction and Diffusion-based MARL
Jiahao You, Ziye Jia, Can Cui +3
The low-altitude intelligent networks (LAINs) emerge as a promising architecture for delivering low-latency and energy-efficient edge intelligence in dynamic and infrastructure-lim…
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…
Hierarchical Low-Altitude Wireless Network Empowered Air Traffic Management
Ziye Jia, Jia He, Yuanhao Cui +6
As the increasing development of low-altitude aircrafts, the rational design of low-altitude networks directly impacts the aerial safety and resource utilization. To address the ch…
Synergetic Empowerment: Wireless Communications Meets Embodied Intelligence
Hongtao Liang, Yihe Diao, YuHang Wu +2
Wireless communication is evolving into an agent era, where large-scale agents with inherent embodied intelligence are not just users but active participants. The perfect combinati…
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…
Spectrum Prediction in the Fractional Fourier Domain with Adaptive Filtering
Yanghao Qin, Bo Zhou, Guangliang Pan +2
Accurate spectrum prediction is crucial for dynamic spectrum access (DSA) and resource allocation. However, due to the unique characteristics of spectrum data, existing methods bas…
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…
Knowledge Graph-Based Explainable and Generalized Zero-Shot Semantic Communications
Zhaoyu Zhang, Lingyi Wang, Wei Wu +2
Data-driven semantic communication is based on superficial statistical patterns, thereby lacking interpretability and generalization, especially for applications with the presence…
Joint Computation Offloading and Resource Allocation for Uncertain Maritime MEC via Cooperation of UAVs and Vessels
Jiahao You, Ziye Jia, Chao Dong +2
The computation demands from the maritime Internet of Things (MIoT) increase rapidly in recent years, and the unmanned aerial vehicles (UAVs) and vessels based multi-access edge co…
Distributionally Robust Optimization for Aerial Multi-access Edge Computing via Cooperation of UAVs and HAPs
Ziye Jia, Can Cui, Chao Dong +4
With an extensive increment of computation demands, the aerial multi-access edge computing (MEC), mainly based on unmanned aerial vehicles (UAVs) and high altitude platforms (HAPs)…
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…
Joint ADS-B in B5G for Hierarchical UAV Networks: Performance Analysis and MEC Based Optimization
Chao Dong, Yiyang Liao, Ziye Jia +2
Unmanned aerial vehicles (UAVs) play significant roles in multiple fields, which brings great challenges for the airspace safety. In order to achieve efficient surveillance and bre…
Cross-Layer Security for Semantic Communications: Metrics and Optimization
Lingyi Wang, Wei Wu, Fuhui Zhou +2
Different from traditional secure communication that focuses on symbolic protection at the physical layer, semantic secure communication requires further attention to semantic-leve…
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…
Service Function Chain Dynamic Scheduling in Space-Air-Ground Integrated Networks
Ziye Jia, Yilu Cao, Lijun He +4
As an important component of the sixth generation communication technologies, the space-air-ground integrated network (SAGIN) attracts increasing attentions in recent years. Howeve…
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…