MaxCUCL algorithm ensures deterministic convergence to the maximum state in networks with unreliable communication links.
Analyzing the performance of multi-cell wideband IAB networks using stochastic geometry.
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.
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。
Proposing a secure and efficient group handover protocol for 5G non-terrestrial networks to mitigate signaling storms and enhance security.
STGED framework outperforms baselines in predicting future network connectivity for tactical communication networks.
Machine learning is leveraged to classify small-world networks based on key features and interactions, enhancing understanding of network structures.
Designing robust networks by maximizing algebraic connectivity is essential for various applications.
Constructing maximal sets of edge-disjoint spanning trees on star-product networks improves network performance.
ETSI DCC mechanisms are crucial for vehicular networks, with the Adaptive Approach showing promising results in both steady state and transitory scenarios.