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View article: Future Instance Prediction in Hybrid Spatial-Temporal Bird’s-Eye-View Representation for Vision-Centric Autonomous Driving
Future Instance Prediction in Hybrid Spatial-Temporal Bird’s-Eye-View Representation for Vision-Centric Autonomous Driving Open
Understanding surrounding dynamics and predicting the future states of instance-level targets are crucial for ensuring safe navigation in autonomous driving. The traditional modular paradigm, which cascades multiple discrete modules throug…
View article: Multi-Target Tracking and Trajectory Planning Framework for Autonomous Vehicles Based on Monocular Vision
Multi-Target Tracking and Trajectory Planning Framework for Autonomous Vehicles Based on Monocular Vision Open
In the pursuit of enhancing autonomous vehicle capabilities, efficient multi-object tracking and trajectory planning are critical components. This paper proposes an integrated framework for multi-target tracking and motion planning, levera…
View article: Meta Learning Based Adaptive Cooperative Perception in Nonstationary Vehicular Networks
Meta Learning Based Adaptive Cooperative Perception in Nonstationary Vehicular Networks Open
To accommodate high network dynamics in real-time cooperative perception (CP), reinforcement learning (RL) based adaptive CP schemes have been proposed, to allow adaptive switchings between CP and stand-alone perception modes among connect…
View article: Accuracy-Aware Cooperative Sensing and Computing for Connected Autonomous Vehicles
Accuracy-Aware Cooperative Sensing and Computing for Connected Autonomous Vehicles Open
To maintain high perception performance among connected and autonomous vehicles (CAVs), in this paper, we propose an accuracy-aware and resource-efficient raw-level cooperative sensing and computing scheme among CAVs and road-side infrastr…
View article: Digital Twin Assisted Intelligent Network Management for Vehicular Applications
Digital Twin Assisted Intelligent Network Management for Vehicular Applications Open
The emerging data-driven methods based on artificial intelligence (AI) have paved the way for intelligent, flexible, and adaptive network management in vehicular applications. To enhance network management towards network automation, this …
View article: Model-Assisted Learning for Adaptive Cooperative Perception of Connected Autonomous Vehicles
Model-Assisted Learning for Adaptive Cooperative Perception of Connected Autonomous Vehicles Open
Cooperative perception (CP) is a key technology to facilitate consistent and accurate situational awareness for connected and autonomous vehicles (CAVs). To tackle the network resource inefficiency issue in traditional broadcast-based CP, …
View article: Digital Twin-Based User-Centric Edge Continual Learning in Integrated Sensing and Communication
Digital Twin-Based User-Centric Edge Continual Learning in Integrated Sensing and Communication Open
In this paper, we propose a digital twin (DT)-based user-centric approach for processing sensing data in an integrated sensing and communication (ISAC) system with high accuracy and efficient resource utilization. The considered scenario i…
View article: Adaptive Spectrum Anti-Jamming in UAV-Enabled Air-to-Ground Networks: A Bimatrix Stackelberg Game Approach
Adaptive Spectrum Anti-Jamming in UAV-Enabled Air-to-Ground Networks: A Bimatrix Stackelberg Game Approach Open
Anti-jamming communication technology is one of the most critical technologies for establishing secure and reliable communication between unmanned aerial vehicles (UAVs) and ground units. The current research on anti-jamming technology foc…
View article: Table of Contents
Table of Contents Open
Dynamic simulation
View article: Joint RAN Slicing and Computation Offloading for Autonomous Vehicular Networks: A Learning-Assisted Hierarchical Approach
Joint RAN Slicing and Computation Offloading for Autonomous Vehicular Networks: A Learning-Assisted Hierarchical Approach Open
In this paper, a two-timescale radio access network (RAN) slicing and computing task offloading problem is investigated for a cloud-enabled autonomous vehicular network (C-AVN). We aim at jointly maximizing the communication and computing …
View article: Corrections to “Joint RAN Slicing and Computation Offloading for Autonomous Vehicular Networks: A Learning-Assisted Hierarchical Approach” [2021 doi: 10.1109/OJVT.2021.3089083]
Corrections to “Joint RAN Slicing and Computation Offloading for Autonomous Vehicular Networks: A Learning-Assisted Hierarchical Approach” [2021 doi: 10.1109/OJVT.2021.3089083] Open
Presents corrections to the above named paper.
View article: Dynamic Resource Provisioning and Scheduling in SDN/NFV-Enabled Core Networks
Dynamic Resource Provisioning and Scheduling in SDN/NFV-Enabled Core Networks Open
The service-oriented fifth-generation (5G) core networks are featured by customized network services with differentiated quality-of-service (QoS) requirements, which can be provisioned through network slicing enabled by the software define…
View article: Delay-Aware Flow Migration for Embedded Services in 5G Core Networks
Delay-Aware Flow Migration for Embedded Services in 5G Core Networks Open
Service-oriented virtual network deployment is based on statistical resource demands of different services, while data traffic from each service fluctuates over time. In this paper, a delay-aware flow migration problem for embedded service…