activity
20202026
most citedDeterministic and Probabilistic P4-Enabled Lightweight In-Band Network Telemetry

21 citations · 39 across the 15 of their papers we have counts for

collaborators

15 papers

cs.LG2026

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…

cs.NI2026

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…

cs.LG2025

Reinforcement Learning-based Adaptive Path Selection for Programmable Networks

José Eduardo Zerna Torres, Marios Avgeris, Chrysa Papagianni +3

This work presents a proof-of-concept implementation of a distributed, in-network reinforcement learning (IN-RL) framework for adaptive path selection in programmable networks. By…

cs.NI2025★ 1 cited

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…

cs.NI2025★ 2 cited

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…

cs.NI2024

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…

cs.NI2024★ 8 cited

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.…

cs.NI2024★ 21 cited

Deterministic and Probabilistic P4-Enabled Lightweight In-Band Network Telemetry

Konstantinos Papadopoulos, Panagiotis Papadimitriou, Chrysa Papagianni

In-band network telemetry (INT), empowered by programmable dataplanes such as P4, comprises a viable approach to network monitoring and telemetry analysis. However, P4-INT as well…

cs.NI2023

DESiRED -- Dynamic, Enhanced, and Smart iRED: A P4-AQM with Deep Reinforcement Learning and In-band Network Telemetry

Leandro C. de Almeida, Washington Rodrigo Dias da Silva, Thiago C. Tavares +3

Active Queue Management (AQM) is a mechanism employed to alleviate transient congestion in network device buffers, such as routers and switches. Traditional AQM algorithms use fixe…

cs.NI2023

iRED: A disaggregated P4-AQM fully implemented in programmable data plane hardware

Leandro C. de Almeida, Rafael Pasquini, Chrysa Papagianni +1

Routers employ queues to temporarily hold packets when the scheduler cannot immediately process them. Congestion occurs when the arrival rate of packets exceeds the processing capa…

cs.AI2023★ 2 cited

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…

cs.LG2023★ 2 cited

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…

cs.NI2021★ 1 cited

Dimensioning of V2X Services in 5G Networks through Forecast-based Scaling

Jorge Martín-Pérez, Koteswararao Kondepu, Danny De Vleeschauwer +6

With the increasing adoption of intelligent transportation systems and the upcoming era of autonomous vehicles, vehicular services (such as, remote driving, cooperative awareness,…

cs.NI2020★ 1 cited

Joint Mobility-Aware UAV Placement and Routing in Multi-Hop UAV Relaying Systems

Anousheh Gholami, Nariman Torkzaban, John S. Baras +1

Unmanned Aerial Vehicles (UAVs) have been extensively utilized to provide wireless connectivity in rural and under-developed areas, enhance network capacity and provide support for…

cs.NI2020★ 1 cited

Joint Satellite Gateway Placement and Routing for Integrated Satellite-Terrestrial Networks

Nariman Torkzaban, Anousheh Gholami, Chrysa Papagianni +1

With the increasing attention to the integrated satellite-terrestrial networks (ISTNs), the satellite gateway placement problem becomes of paramount importance. The resulting netwo…