VR-Based Immersive Service Management in B5G Mobile Systems
The management of remote services, such as remote surgery, remote sensing, or remote driving, has become increasingly important, especially with the emerging […]
Deep Reinforcement Learning-Based Deterministic Routing and Scheduling for Mixed-Criticality Flows
Deterministic networking has recently drawn much attention by investigating deterministic flow scheduling. Combined with artificial intelligent (AI) technologies, it can be leveraged […]
Toward Supporting XR Services
Emerging cross-reality (XR) applications, including holography, augmented, virtual, and mixed reality, are characterized by unprecedented requirements for Quality of Experience (QoE), largely […]
Multi-UAV Path Learning for Age and Power Optimization in IoT with UAV Battery Recharge
In many emerging Internet of Things (IoT) applications, the freshness of the is an important design criterion. Age of Information (AoI) quantifies […]
Low-Latency Multi-Kernel Polar Decoders
Polar codes have been receiving increased attention for application in beyond 5G networks. They offer low-complexity decoding algorithm and can achieve symmetric […]
Blockchain-Based Network Slice Broker to Facilitate Factory-As-a-Service
The novel concept of factory-as-a-service (FaaS) allows the agility of adapting the manufacturing process by identifying the industry’s supply chain and user […]
Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks
Integrating low-altitude earth orbit (LEO) satellites (SATs) and unmanned aerial vehicles (UAVs) within a non-terrestrial network (NTN), we investigate the problem of […]
Origin of Enhanced Photocatalytic Activity in Direct Band Gap g-C₃N₄ Nanoribbons with Tunable Electronic Properties for Water-Splitting Reaction
In this work we employ density functional theory (DFT) to investigate the edge atomic structures and atomic boundaries in graphitic carbon nitride […]
SCEMA
Protecting large-scale networks, especially Software-Defined Networks (SDNs), against distributed attacks in a cost-effective manner plays a prominent role in cybersecurity. One of […]
Lifelong Fine-grained Image Retrieval
Fine-grained image retrieval has been extensively explored in a zero-shot manner. A deep model is trained on the seen part and then […]