185 citations · 454 across the 25 of their papers we have counts for
10 papers · 1 filter
IS2N: Intent-Driven Security Software-Defined Network with Blockchain
Yanbo Song, Tao Feng, Chungang Yang +3
Software-defined network (SDN) is characterized by its programmability, flexibility, and the separation of control and data planes. However, SDN still have many challenges, particu…
Towards Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunities
Kai Li, Billy Pik Lik Lau, Xin Yuan +3
In recent years, ubiquitous semantic Metaverse has been studied to revolutionize immersive cyber-virtual experiences for augmented reality (AR) and virtual reality (VR) users, whic…
Cell-Free XL-MIMO Meets Multi-Agent Reinforcement Learning: Architectures, Challenges, and Future Directions
Zhilong Liu, Jiayi Zhang, Ziheng Liu +5
Cell-free massive multiple-input multiple-output (mMIMO) and extremely large-scale MIMO (XL-MIMO) are regarded as promising innovations for the forthcoming generation of wireless c…
Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques
Mohammed Aledhari, Mohamed Rahouti, Junaid Qadir +3
This article outlines the architecture of autonomous driving and related complementary frameworks from the perspective of human comfort. The technical elements for measuring Autono…
Optimal Resource Management for Hierarchical Federated Learning over HetNets with Wireless Energy Transfer
Rami Hamdi, Ahmed Ben Said, Emna Baccour +4
Remote monitoring systems analyze the environment dynamics in different smart industrial applications, such as occupational health and safety, and environmental monitoring. Specifi…
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions
Hani Sami, Ahmad Hammoud, Mouhamad Arafeh +14
The Metaverse offers a second world beyond reality, where boundaries are non-existent, and possibilities are endless through engagement and immersive experiences using the virtual…
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach
Mahmoud Nazzal, Abdallah Khreishah, Joyoung Lee +3
Prediction of taxi service demand and supply is essential for improving customer's experience and provider's profit. Recently, graph neural networks (GNNs) have been shown promisin…
ESCM: An Efficient and Secure Communication Mechanism for UAV Networks
Haoxiang Luo, Yifan Wu, Gang Sun +2
UAV (unmanned aerial vehicle) is rapidly gaining traction in various human activities and has become an integral component of the satellite-air-ground-sea (SAGS) integrated network…
Self-Sovereign Identity for Trust and Interoperability in the Metaverse
Siem Ghirmai, Daniel Mebrahtom, Moayad Aloqaily +2
With the advancement in computing power and speed, the Internet is being transformed from screen-based information to immersive and extremely low latency communication environments…
An Incremental Gray-box Physical Adversarial Attack on Neural Network Training
Rabiah Al-qudah, Moayad Aloqaily, Bassem Ouni +2
Neural networks have demonstrated remarkable success in learning and solving complex tasks in a variety of fields. Nevertheless, the rise of those networks in modern computing has…