8 citations · 8 across the 4 of their papers we have counts for
6 papers · 1 filter
MapViT: A Two-Stage ViT-Based Framework for Real-Time Radio Quality Map Prediction in Dynamic Environments
Cyril Shih-Huan Hsu, Xi Li, Lanfranco Zanzi +3
Recent advancements in mobile and wireless networks are unlocking the full potential of robotic autonomy, enabling robots to take advantage of ultra-low latency, high data throughp…
Cascaded Transformer for Robust and Scalable SLA Decomposition via Amortized Optimization
Cyril Shih-Huan Hsu
The evolution toward 6G networks increasingly relies on network slicing to provide tailored, End-to-End (E2E) logical networks over shared physical infrastructures. A critical chal…
Transformer-Empowered Actor-Critic Reinforcement Learning for Sequence-Aware Service Function Chain Partitioning
Cyril Shih-Huan Hsu, Anestis Dalgkitsis, Paola Grosso +1
In the forthcoming era of 6G networks, characterized by unprecedented data rates, ultra-low latency, and ubiquitous connectivity, effective management of Virtualized Network Functi…
RAILS: Risk-Aware Iterated Local Search for Joint SLA Decomposition and Service Provider Management in Multi-Domain Networks
Cyril Shih-Huan Hsu, Chrysa Papagianni, Paola Grosso
The emergence of the fifth generation (5G) technology has transformed mobile networks into multi-service environments, necessitating efficient network slicing to meet diverse Servi…
Online SLA Decomposition: Enabling Real-Time Adaptation to Evolving Network Systems
Cyril Shih-Huan Hsu, Danny De Vleeschauwer, Chrysa Papagianni +1
When a network slice spans multiple technology domains, it is crucial for each domain to uphold the End-to-End (E2E) Service Level Agreement (SLA) associated with the slice. Conseq…
SLA Decomposition for Network Slicing: A Deep Neural Network Approach
Cyril Shih-Huan Hsu, Danny De Vleeschauwer, Chrysa Papagianni
For a network slice that spans multiple technology and/or administrative domains, these domains must ensure that the slice's End-to-End (E2E) Service Level Agreement (SLA) is met.…