8 citations · 15 across the 9 of their papers we have counts for
9 papers
Progressive Semantic Communication for Efficient Edge-Cloud Vision-Language Models
Cyril Shih-Huan Hsu, Wig Yuan-Cheng Cheng, Chrysa Papagianni
Deploying Vision-Language Models (VLMs) on edge devices remains challenging due to their substantial computational and memory demands, which exceed the capabilities of resource-con…
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.…
A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service Provisioning
Cyril Shih-Huan Hsu, Jorge Martín-Pérez, Danny De Vleeschauwer +3
Cellular Vehicle-to-Everything (C-V2X) is currently at the forefront of the digital transformation of our society. By enabling vehicles to communicate with each other and with the…
V2N Service Scaling with Deep Reinforcement Learning
Cyril Shih-Huan Hsu, Jorge Martín-Pérez, Chrysa Papagianni +1
The fifth generation (5G) of wireless networks is set out to meet the stringent requirements of vehicular use cases. Edge computing resources can aid in this direction by moving pr…