MaxCUCL: Achieving Max-Consensus in Networks with Unreliable Communication Links
MaxCUCL algorithm ensures deterministic convergence to the maximum state in networks with unreliable communication links.
In-Band-Full-Duplex Multi-Cell Wideband IAB Networks Performance Analysis
Analyzing the performance of multi-cell wideband IAB networks using stochastic geometry.
Hierarchical Information Enhancement Network for Cascade Prediction in Social Networks
Proposing a novel Hierarchical Information Enhancement Network (HIENet) for cascade prediction in social networks, integrating fundamental cascade sequence, user social graphs, and sub-cascade graph into a unified framework.
BostonTwin: Boston Digital Twin for 6G Networks
デジタルツインは、次世代の無線ネットワーク設計と進化において重要な役割を果たす。
Secure and Efficient Group Handover Protocol in 5G Non-Terrestrial Networks
Proposing a secure and efficient group handover protocol for 5G non-terrestrial networks to mitigate signaling storms and enhance security.
Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction
STGED framework outperforms baselines in predicting future network connectivity for tactical communication networks.
Analyzing Small-World Networks with Machine Learning
Machine learning is leveraged to classify small-world networks based on key features and interactions, enhancing understanding of network structures.
Optimal Robust Network Design: Maximizing Algebraic Connectivity Formulations and Algorithms
Designing robust networks by maximizing algebraic connectivity is essential for various applications.
Analysis of Edge-Disjoint Spanning Trees on Star-Product Networks
Constructing maximal sets of edge-disjoint spanning trees on star-product networks improves network performance.
ETSI DCC Adaptive Approach and Related Algorithms Experimental Evaluation
ETSI DCC mechanisms are crucial for vehicular networks, with the Adaptive Approach showing promising results in both steady state and transitory scenarios.
