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View article: Stacked Intelligent Metasurfaces-Aided eVTOL Delay Sensitive Communications
Stacked Intelligent Metasurfaces-Aided eVTOL Delay Sensitive Communications Open
With rapid urbanization and increasing population density, urban traffic congestion has become a critical issue, and traditional ground transportation methods are no longer sufficient to address it effectively. To tackle this challenge, th…
View article: Network Slice-based Low-Altitude Intelligent Network for Advanced Air Mobility
Network Slice-based Low-Altitude Intelligent Network for Advanced Air Mobility Open
Advanced Air Mobility (AAM) is transforming transportation systems by extending them into near-ground airspace, offering innovative solutions to mobility challenges. In this space, electric vertical take-off and landing vehicles (eVTOLs) p…
View article: Digital Twin-based SIM Communication and Flight Control for Advanced Air Mobility
Digital Twin-based SIM Communication and Flight Control for Advanced Air Mobility Open
Electric Vertical Take-off and Landing vehicles (eVTOLs) are driving Advanced Air Mobility (AAM) toward transforming urban transportation by extending travel from congested ground networks to low-altitude airspace. This transition promises…
View article: Multi-hop RIS-aided Learning Model Sharing for Urban Air Mobility
Multi-hop RIS-aided Learning Model Sharing for Urban Air Mobility Open
Urban Air Mobility (UAM), powered by flying cars, is poised to revolutionize urban transportation by expanding vehicle travel from the ground to the air. This advancement promises to alleviate congestion and enable faster commutes. However…
View article: RIS-aided Trajectory Optimization in Layered Urban Air Mobility
RIS-aided Trajectory Optimization in Layered Urban Air Mobility Open
Urban Air Mobility (UAM) relies on developing aerospace industries, where safe aviation and efficient communication are critical features of aircraft. However, it is challenging for aircraft to sustain efficient air-ground communication in…
View article: RIS-empowered Topology Control for Distributed Learning in Urban Air Mobility
RIS-empowered Topology Control for Distributed Learning in Urban Air Mobility Open
Urban Air Mobility (UAM) expands vehicles from the ground to the near-ground space, envisioned as a revolution for transportation systems. Comprehensive scene perception is the foundation for autonomous aerial driving. However, UAM encount…
View article: Tiered Digital Twin-Assisted Cooperative Multiple Targets Tracking
Tiered Digital Twin-Assisted Cooperative Multiple Targets Tracking Open
The development of the intelligent Internet of Things has facilitated the adoption of high-efficiency Multiple Targets Tracking (MTT) in many civil security applications. However, existing MTT technologies cannot offer full capability in a…
View article: Digital twin empowered lightweight and efficient blockchain for dynamic internet of vehicles
Digital twin empowered lightweight and efficient blockchain for dynamic internet of vehicles Open
The Internet of Vehicles (IoV) has great potential for Intelligent Transportation Systems (ITS), enabling interactive vehicle applications, such as advanced driving and infotainment. It is crucial to ensure the reliability during the vehic…
View article: Digital twin empowered cooperative trajectory planning of platoon vehicles for collision avoidance with unexpected obstacles
Digital twin empowered cooperative trajectory planning of platoon vehicles for collision avoidance with unexpected obstacles Open
Road obstacles that unexpectedly appear due to vehicle breakdowns and accidents are major causes of fatal road accidents. Connected Autonomous Vehicles (CAVs) can be used to avoid collisions to ensure road safety through cooperative sensin…
View article: A Digital Twin Empowered Lightweight Model Sharing Scheme for Multi-Robot Systems
A Digital Twin Empowered Lightweight Model Sharing Scheme for Multi-Robot Systems Open
Multi-robot system for manufacturing is an Industry Internet of Things (IIoT) paradigm with significant operational cost savings and productivity improvement, where Unmanned Aerial Vehicles (UAVs) are employed to control and implement coll…
View article: UAV-Assisted-Smart Farming for Agricultural Monitoring in a Large Scale WSN area
UAV-Assisted-Smart Farming for Agricultural Monitoring in a Large Scale WSN area Open
With the aid of multiple autonomous unmanned aerial vehicles (UAVs), data collection from the large-scale Wireless Sensor Network (WSN) is a highly efficient, but challenging solution. In this paper, to minimize the total energy consumptio…
View article: UAV-Assisted-Smart Farming for Agricultural Monitoring in a Large Scale WSN area
UAV-Assisted-Smart Farming for Agricultural Monitoring in a Large Scale WSN area Open
With the aid of multiple autonomous unmanned aerial vehicles (UAVs), data collection from the large-scale Wireless Sensor Network (WSN) is a highly efficient, but challenging solution. In this paper, to minimize the total energy consumptio…
View article: UAV-Assisted-Smart Farming for Agricultural Monitoring in a Large Scale WSN area
UAV-Assisted-Smart Farming for Agricultural Monitoring in a Large Scale WSN area Open
With the aid of multiple autonomous unmanned aerial vehicles (UAVs), data collection from the large-scale Wireless Sensor Network (WSN) is a highly efficient, but challenging solution. In this paper, to minimize the total energy consumptio…
View article: Integrated Sensing and Communication in UAV Swarms for Cooperative Multiple Targets Tracking
Integrated Sensing and Communication in UAV Swarms for Cooperative Multiple Targets Tracking Open
Various interconnected Internet of Things (IoT) devices have emerged, led by the intelligence of the IoT, to realize exceptional interaction with the physical world. In this context, UAV swarm-enabled Multiple Targets Tracking (UAV-MTT), w…
View article: Intelligent Sensing Scheduling for Mobile Target Tracking Wireless Sensor Networks
Intelligent Sensing Scheduling for Mobile Target Tracking Wireless Sensor Networks Open
Edge computing has emerged as a prospective paradigm to meet ever-increasing computation demands in Mobile Target Tracking Wireless Sensor Networks (MTT-WSN). This paradigm can offload time-sensitive tasks to sink nodes to improve computin…
View article: Secure and Efficient Blockchain based Knowledge Sharing for Intelligent Connected Vehicles
Secure and Efficient Blockchain based Knowledge Sharing for Intelligent Connected Vehicles Open
The emergence of Intelligent Connected Vehicles (ICVs) shows great potential for future intelligent traffic systems, enhancing both traffic safety and road efficiency. However, the ICVs relying on data driven perception and driving models …
View article: Secure and Efficient Blockchain based Knowledge Sharing for Connected Autonomous Vehicles
Secure and Efficient Blockchain based Knowledge Sharing for Connected Autonomous Vehicles Open
The emergence of Connected Autonomous Vehicles (CAVs) shows great potential for future intelligent traffic systems, enhancing both traffic safety and road efficiency. However, the CAVs relying on data driven perception and driving models f…
View article: Connecting AI Learning and Blockchain Mining in 6G Systems
Connecting AI Learning and Blockchain Mining in 6G Systems Open
The sixth generation (6G) systems are generally recognized to be established on ubiquitous Artificial Intelligence (AI) and distributed ledger such as blockchain. However, the AI training demands tremendous computing resource, which is lim…
View article: Deep Learning Based Intelligent Inter-Vehicle Distance Control for 6G Enabled Cooperative Autonomous Driving
Deep Learning Based Intelligent Inter-Vehicle Distance Control for 6G Enabled Cooperative Autonomous Driving Open
Research on the sixth generation cellular networks (6G) is gaining huge momentum to achieve ubiquitous wireless connectivity. Connected autonomous driving (CAV) is a critical vertical envisioned for 6G, holding great potentials of improvin…
View article: Edge Intelligence for Autonomous Driving in 6G Wireless System: Design Challenges and Solutions
Edge Intelligence for Autonomous Driving in 6G Wireless System: Design Challenges and Solutions Open
In a level-5 autonomous driving system, the autonomous driving vehicles (AVs) are expected to sense the surroundings via analyzing a large amount of data captured by a variety of onboard sensors in near-real-time. As a result, enormous com…
View article: Communication and Computing Resource Optimization for Connected Autonomous Driving
Communication and Computing Resource Optimization for Connected Autonomous Driving Open
Transportation system is facing a sharp disruption since the Connected Autonomous Vehicles (CAVs) can free people from driving and provide good driving experience with the aid of Vehicle-to-Vehicle (V2V) communications. Although CAVs bring…
View article: Intelligent Task Offloading for Heterogeneous V2X Communications
Intelligent Task Offloading for Heterogeneous V2X Communications Open
With the rapid development of autonomous driving technologies, it becomes difficult to reconcile the conflict between ever-increasing demands for high process rate in the intelligent automotive tasks and resource-constrained on-board proce…
View article: Visible light communication-based traffic control of autonomous vehicles at multi-lane roundabouts
Visible light communication-based traffic control of autonomous vehicles at multi-lane roundabouts Open
Roundabouts are a form of circular intersections adopted to secure road safety of the vehicles. However, collisions are not prevented entirely even when using roundabouts, since accidents may happen at specific intersection points leading …
View article: Reinforcement learning enabled cooperative spectrum sensing in cognitive radio networks
Reinforcement learning enabled cooperative spectrum sensing in cognitive radio networks Open
In cognitive radio (CR) networks, fast and accurate spectrum sensing plays a fundamental role in achieving high spectral efficiency. In this paper, a reinforcement learning (RL) enabled cooperative spectrum sensing scheme is proposed for t…
View article: A New Vehicular Fog Computing Architecture for Cooperative Sensing of Autonomous Driving
A New Vehicular Fog Computing Architecture for Cooperative Sensing of Autonomous Driving Open
The sensing coverage and accuracy of vehicles are vital for autonomous driving. However, the current sensing capability of a single autonomous vehicle is quite limited in the complicated road traffic environment, which leads to many sensin…
View article: Block Mining or Service Providing: A Profit Optimizing Game of the PoW-Based Miners
Block Mining or Service Providing: A Profit Optimizing Game of the PoW-Based Miners Open
The Proof-of-Work (PoW) consensus is widely used to maintain the security and consistency of the blockchain systems. In PoW, the miners have to consume tremendous computing resources to compete for generating a valid block and win the rewa…
View article: Data Poison Detection Schemes for Distributed Machine Learning
Data Poison Detection Schemes for Distributed Machine Learning Open
Distributed machine learning (DML) can realize massive dataset training when no single node can work out the accurate results within an acceptable time. However, this will inevitably expose more potential targets to attackers compared with…
View article: Intelligent Resource Collaboration in Mobile Target Tracking Oriented Mission-Critical Sensor Networks
Intelligent Resource Collaboration in Mobile Target Tracking Oriented Mission-Critical Sensor Networks Open
Mobile target tracking-oriented sensor networks are a special kind of Mission-critical Sensor Networks (MCSN), in which the various missions with the diverse priorities exist. However, it is challenging to achieve real time tracking while …
View article: Cooperative Connected Autonomous Vehicles (CAV): Research, Applications and Challenges
Cooperative Connected Autonomous Vehicles (CAV): Research, Applications and Challenges Open
Road accidents and traffic congestion are two critical problems for global transport systems. Connected vehicles (CV) and automated vehicles (AV) are among the most heavily researched and promising automotive technologies to reduce road ac…