Qihui Wu
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View article: A Synergy of Computing Power Networks and Low-Altitude Economy Intelligent Communications: Challenges, Design Principles, and Research Directions
A Synergy of Computing Power Networks and Low-Altitude Economy Intelligent Communications: Challenges, Design Principles, and Research Directions Open
The rapid development of the Low-Altitude Economy (LAE) has created opportunities for emerging services such as autonomous aerial transportation, aerial sensing, and emergency response, all of which rely on efficient and intelligent commun…
View article: A Lightweight Authentication and Key Agreement Protocol Design for FANET
A Lightweight Authentication and Key Agreement Protocol Design for FANET Open
The advancement of low-altitude intelligent networks enables unmanned aerial vehicle (UAV) interconnection via flying ad-hoc networks (FANETs), offering flexibility and decentralized coordination. However, resource constraints, dynamic top…
View article: Distributed Multi-Task Learning for Joint Wireless Signal Enhancement and Recognition
Distributed Multi-Task Learning for Joint Wireless Signal Enhancement and Recognition Open
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-collaborative manner. However, it is challenging to accurately classi…
View article: Explainable Deep Learning Based Adversarial Defense for Automatic Modulation Classification
Explainable Deep Learning Based Adversarial Defense for Automatic Modulation Classification Open
Deep learning (DL) has been widely applied to enhance automatic modulation classification (AMC). However, the elaborate AMC neural networks are susceptible to various adversarial attacks, which are challenging to handle due to the generali…
View article: A selective attention approach for cross-modal target perception
A selective attention approach for cross-modal target perception Open
View article: Remote ID based UAV collision avoidance optimization for low-altitude airspace safety
Remote ID based UAV collision avoidance optimization for low-altitude airspace safety Open
View article: Synergetic Empowerment: Wireless Communications Meets Embodied Intelligence
Synergetic Empowerment: Wireless Communications Meets Embodied Intelligence Open
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 combination of wireless communication and embodied intelligence can …
View article: Spectrum Prediction in the Fractional Fourier Domain With Adaptive Filtering
Spectrum Prediction in the Fractional Fourier Domain With Adaptive Filtering Open
Accurate spectrum prediction is crucial for dynamic spectrum access (DSA) and resource allocation. However, due to the unique characteristics of spectrum data, existing methods based on the time or frequency domain often struggle to separa…
View article: Remote ID Based UAV Collision Avoidance Optimization for Low-Altitude Airspace Safety
Remote ID Based UAV Collision Avoidance Optimization for Low-Altitude Airspace Safety Open
With the rapid development of unmanned aerial vehicles (UAVs), it is paramount to ensure safe and efficient operations in open airspaces. The remote identification (Remote ID) is deemed an effective real-time UAV monitoring system by the f…
View article: Enhancing Leanness Philosophies with Industry 5.0 Enables Reduction of Sustainable Supply Chain Risks: A Case Study of a New Energy Battery Manufacturer
Enhancing Leanness Philosophies with Industry 5.0 Enables Reduction of Sustainable Supply Chain Risks: A Case Study of a New Energy Battery Manufacturer Open
In light of the persistent environmental degradation driven by fossil fuels, developing new energy sources is essential for achieving sustainability. The recent surge in electric vehicle adoption has underscored the significance of new ene…
View article: Measured spectrum environment map dataset with multi-radiation sources in urban scenarios
Measured spectrum environment map dataset with multi-radiation sources in urban scenarios Open
This paper presents a measured spectrum strength dataset in the urban scenario with multiple radiation sources, aiming to address the limitation of open datasets for spectrum environment map (SEM) in realistic multi-source dynamic scenario…
View article: Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning
Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning Open
With the emergence of compute-intensive and delay-sensitive applications in vehicular networks, unmanned aerial vehicles (UAVs) have emerged as a promising complement for vehicular edge computing due to the high mobility and flexible deplo…
View article: Joint Computation Offloading and Resource Allocation for Uncertain Maritime MEC via Cooperation of UAVs and Vessels
Joint Computation Offloading and Resource Allocation for Uncertain Maritime MEC via Cooperation of UAVs and Vessels Open
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 computing (MEC) can fulfill these MIoT requirements. However,…
View article: Joint UAV Trajectory Planning and LEO Satellite Selection for Data Offloading in Space-Air-Ground Integrated Networks
Joint UAV Trajectory Planning and LEO Satellite Selection for Data Offloading in Space-Air-Ground Integrated Networks Open
With the development of low earth orbit (LEO) satellites and unmanned aerial vehicles (UAVs), the space-air-ground integrated network (SAGIN) becomes a major trend in the next-generation networks. However, due to the instability of heterog…
View article: SpectrumFM: A Foundation Model for Intelligent Spectrum Management
SpectrumFM: A Foundation Model for Intelligent Spectrum Management Open
View article: Adaptive model switching of collaborative inference for multi-CNN streams in UAV swarm
Adaptive model switching of collaborative inference for multi-CNN streams in UAV swarm Open
View article: Revolution of Wireless Signal Recognition for 6G: Recent Advances, Challenges and Future Directions
Revolution of Wireless Signal Recognition for 6G: Recent Advances, Challenges and Future Directions Open
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 be utilized to enhance network performance and efficiency,…
View article: Generative AI-Enhanced Cooperative MEC of UAVs and Ground Stations for Unmanned Surface Vehicles
Generative AI-Enhanced Cooperative MEC of UAVs and Ground Stations for Unmanned Surface Vehicles Open
The increasing deployment of unmanned surface vehicles (USVs) require computational support and coverage in applications such as maritime search and rescue. Unmanned aerial vehicles (UAVs) can offer low-cost, flexible aerial services, and …
View article: Effects of sodium alginate and calcium on quality attributes of Shepherd’s purse under ultrasound impregnation during blanching processing
Effects of sodium alginate and calcium on quality attributes of Shepherd’s purse under ultrasound impregnation during blanching processing Open
This study aimed to improve the quality of blanched Shepherd’s purse . Before blanching, Shepherd’s purse was impregnated, combined with ultrasonic treatment (US) (0, 5, 15 min) and different impregnators (calcium chloride (Ca), glucose (G…
View article: Data-and-Semantic Dual-Driven Spectrum Map Construction for 6G Spectrum Management
Data-and-Semantic Dual-Driven Spectrum Map Construction for 6G Spectrum Management Open
Spectrum maps reflect the utilization and distribution of spectrum resources in the electromagnetic environment, serving as an effective approach to support spectrum management. However, the construction of spectrum maps in urban environme…
View article: Robust UAV Path Planning with Obstacle Avoidance for Emergency Rescue
Robust UAV Path Planning with Obstacle Avoidance for Emergency Rescue Open
The unmanned aerial vehicles (UAVs) are efficient tools for diverse tasks such as electronic reconnaissance, agricultural operations and disaster relief. In the complex three-dimensional (3D) environments, the path planning with obstacle a…
View article: Q-learning based trajectory design for UAV communications network with fairly non-orthogonal multiple access
Q-learning based trajectory design for UAV communications network with fairly non-orthogonal multiple access Open
View article: Co2-Responsive Microgels for In-Depth Conformance Control in Carbon Geological Storage
Co2-Responsive Microgels for In-Depth Conformance Control in Carbon Geological Storage Open
View article: Spectrum Cognition: Semantic Situation for Next-Generation Spectrum Management
Spectrum Cognition: Semantic Situation for Next-Generation Spectrum Management Open
In response to the growing complexity and demands of future wireless communication networks, spectrum cognition has emerged as an essential technique for optimizing spectrum utilization in next-generation wireless networks. This article pr…
View article: Robust Task Offloading and Trajectory Optimization for UAV-Mounted Mobile Edge Computing
Robust Task Offloading and Trajectory Optimization for UAV-Mounted Mobile Edge Computing Open
Mobile edge computing (MEC) deployed in unmanned aerial vehicles (UAVs) has shown special strength by enhancing computational capacity and prolonging the battery lives of terrestrial user equipment (UE). Nevertheless, current research lack…
View article: IRS-Enhanced Secure Semantic Communication Networks: Cross-Layer and Context-Awared Resource Allocation
IRS-Enhanced Secure Semantic Communication Networks: Cross-Layer and Context-Awared Resource Allocation Open
Learning-task oriented semantic communication is pivotal in optimizing transmission efficiency by extracting and conveying essential semantics tailored to specific tasks, such as image reconstruction and classification. Nevertheless, the c…
View article: Information Importance-Aware Defense against Adversarial Attack for Automatic Modulation Classification:An XAI-Based Approach
Information Importance-Aware Defense against Adversarial Attack for Automatic Modulation Classification:An XAI-Based Approach Open
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 increasingly widespread, it is faced with the severe secure…
View article: Collaborative Automatic Modulation Classification via Deep Edge Inference for Hierarchical Cognitive Radio Networks
Collaborative Automatic Modulation Classification via Deep Edge Inference for Hierarchical Cognitive Radio Networks Open
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 the transmission overhead, data privacy, and computation lo…
View article: Spectrum Prediction With Deep 3D Pyramid Vision Transformer Learning
Spectrum Prediction With Deep 3D Pyramid Vision Transformer Learning Open
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, where the encoder extracts spectrum usage pattern features, an…
View article: Research Trends in the Comorbidity Between Periodontitis and Neurodegenerative Diseases
Research Trends in the Comorbidity Between Periodontitis and Neurodegenerative Diseases Open