Impact of Mobility on Physical and MAC Layer Algorithms Performance in Wimax System. - Nicola Riato; Stefano Sorrentino; Davide Franco; Carlo Masseroni; Marco Rastelli; Riccardo Trivisonno (PIMRC, 2007)

On Mobility Load Balancing for LTE Systems. - Raymond Kwan; Rob Arnott; Robert Paterson; Riccardo Trivisonno; Mitsuhiro Kubota (VTC Fall, 2010)

On Pre-Emption and Congestion Control for LTE Systems. - Raymond Kwan; Rob Arnott; Riccardo Trivisonno; Mitsuhiro Kubota (VTC Fall, 2010)

Virtual Links Mapping in Future SDN-Enabled Networks. - Riccardo Trivisonno; Ishan Vaishnavi; Riccardo Guerzoni; Zoran Despotovic; Artur Hecker; Sergio Beker; David Soldani (SDN4FNS, 2013)

SDN-Based Architecture and Procedures for 5G Networks. - Riccardo Guerzoni; Riccardo Trivisonno; David Soldani (5GU, 2014)

VNetMapper: A fast and scalable approach to virtual networks embedding. - Zoran Despotovic; Artur Hecker; Ahsan Naveed Malik; Riccardo Guerzoni; Ishan Vaishnavi; Riccardo Trivisonno; Sergio Beker (ICCCN, 2014)

A novel approach to virtual networks embedding for SDN management and orchestration. - Riccardo Guerzoni; Riccardo Trivisonno; Ishan Vaishnavi; Zoran Despotovic; Artur Hecker; Sergio Beker; David Soldani (NOMS, 2014)

Modeling Reliability Requirements in Coordinated Node and Link Mapping. - Riccardo Guerzoni; Zoran Despotovic; Riccardo Trivisonno; Ishan Vaishnavi (SRDS, 2014)

System design for 5G converged networks. - Hans Joachim Einsiedler; Anastasius Gavras; Patrick Sellstedt; Rui L. Aguiar; Riccardo Trivisonno; Damien Lavaux (EuCNC, 2015)

Network Resource Management and QoS in SDN-Enabled 5G Systems. - Riccardo Trivisonno; Riccardo Guerzoni; Ishan Vaishnavi; Ansah Frimpong (GLOBECOM, 2015)

Towards zero latency Software Defined 5G Networks. - Riccardo Trivisonno; Riccardo Guerzoni; Ishan Vaishnavi; David Soldani (ICC Workshops, 2015)

Virtual Link Mapping for delay critical services in SDN-enabled 5G networks. - Riccardo Guerzoni; Ishan Vaishnavi; Ansah Frimpong; Riccardo Trivisonno (NetSoft, 2015)

Recursive, hierarchical embedding of virtual infrastructure in multi-domain substrates. - Ishan Vaishnavi; Riccardo Guerzoni; Riccardo Trivisonno (NetSoft, 2015)

SDN-based 5G mobile networks: architecture, functions, procedures and backward compatibility. - Riccardo Trivisonno; Riccardo Guerzoni; Ishan Vaishnavi; David Soldani (Trans. Emerg. Telecommun. Technol., 2015)

End-to-End Architecture Modularisation and Slicing for Next Generation Networks. - Xueli An; Riccardo Trivisonno; Hans Joachim Einsiedler; Dirk von Hugo; Kay Haensge; Xiaofeng Huang; Qing Shen; Daniel Corujo; Kashif Mahmood; Dirk Trossen; Marco Liebsch; Filipe Leitão; et al. (CoRR, 2016)

Network slicing for 5G systems: A review from an architecture and standardization perspective. - Riccardo Trivisonno; Xueli An; Qing Wei 001 (CSCN, 2017)

Architecture modularisation for next generation mobile networks. - Xueli An; Riccardo Trivisonno; Hans Joachim Einsiedler; Dirk von Hugo; Kay Haensge; Xiaofeng Huang; Qing Shen; Daniel Corujo; Kashif Mahmood; Dirk Trossen; Marco Liebsch; Filipe Leitão; et al. (EuCNC, 2017)

On the integration of verticals through 5G control plane. - Kashif Mahmood; Toktam Mahmoodi; Riccardo Trivisonno; Anastasius Gavras; Dirk Trossen; Marco Liebsch (EuCNC, 2017)

On end to end network slicing for 5G communication systems. - Xueli An; Chan Zhou 001; Riccardo Trivisonno; Riccardo Guerzoni; Alexandros Kaloxylos; David Soldani; Artur Hecker (Trans. Emerg. Telecommun. Technol., 2017)

mIot Connectivity Solutions for Enhanced 5G Systems. - Massimo Condoluci; Riccardo Trivisonno; Toktam Mahmoodi; Xueli An (ICC, 2018)

mIoT Slice for 5G Systems: Design and Performance Evaluation. - Riccardo Trivisonno; Massimo Condoluci; Xueli An; Toktam Mahmoodi (Sensors, 2018)

Estimating Video Streaming QoE in the 5G Architecture Using Machine Learning. - Susanna Schwarzmann; Clarissa Cassales Marquezan; Marcin Bosk; Huiran Liu; Riccardo Trivisonno; Thomas Zinner (Internet-QoE@MOBICOM, 2019)

Accuracy vs. Cost Trade-off for Machine Learning Based QoE Estimation in 5G Networks. - Susanna Schwarzmann; Clarissa Cassales Marquezan; Riccardo Trivisonno; Shinichi Nakajima; Thomas Zinner (ICC, 2020)

QoS Enhancements for V2X Services in 5G Networks. - Riccardo Trivisonno; Qing Wei 001; Clarissa Cassales Marquezan (VTC Spring, 2020)

Using 5G QoS Mechanisms to Achieve QoE-Aware Resource Allocation. - Marcin Bosk; Marija Gajic; Susanna Schwarzmann; Stanislav Lange; Riccardo Trivisonno; Clarissa Cassales Marquezan; Thomas Zinner (CNSM, 2021)

On the Challenges and Performance of Cooperative Communication in 5G and B5G Systems. - Christopher Lehmann; Riccardo Trivisonno; Sreekrishna Pandi; Clarissa Cassales Marquezan; Frank H. P. Fitzek (GLOBECOM, 2021)

Understanding Exploration and Exploitation of Q-Learning Agents in B5G Network Management. - Sayantini Majumdar; Riccardo Trivisonno; Georg Carle (GLOBECOM (Workshops), 2021)

Towards Cost-efficient Reliable Vehicle-MEC Connectivity for B5G Mobile Networks: Challenges and Future Directions. - Priyanka Pathak; Clarissa Cassales Marquezan; Riccardo Trivisonno; Marius Pesavento (VTC Fall, 2021)

Q-Learning for Conflict Resolution in B5G Network Automation. - Sayantini Majumdar; Riccardo Trivisonno; Georg Carle (CoRR, 2021)

Adaptive network reliability for human-robot interaction in beyond 5G industrial applications. - Davide Borsatti; Gianluca Davoli; Chiara Lombardo; Daniela Selvi; Roberto Bruschi; Walter Cerroni; Franco Davoli; Carla Raffaelli; Riccardo Trivisonno; Raffaele Bolla (DRCN, 2022)

Improving Scalability of 6G Network Automation with Distributed Deep Q-Networks. - Sayantini Majumdar; Leonardo Goratti; Riccardo Trivisonno; Georg Carle (GLOBECOM, 2022)

Intelligent Admission Control in 6G Networks for Resource-efficient Reliable Connectivity. - Priyanka Pathak; Susanna Schwarzmann; Riccardo Trivisonno; Marius Pesavento (GLOBECOM, 2022)

Scalability of Distributed Intelligence Architecture for 6G Network Automation. - Sayantini Majumdar; Riccardo Trivisonno; Georg Carle (ICC, 2022)

ML-Based QoE Estimation in 5G Networks Using Different Regression Techniques. - Susanna Schwarzmann; Clarissa Cassales Marquezan; Riccardo Trivisonno; Shinichi Nakajima; Vincent Barriac; Thomas Zinner (IEEE Trans. Netw. Serv. Manag., 2022)

Distributed Management of Dynamic Reliability in Beyond 5G Industrial Environments for Extreme Low Latency Communication. - Davide Borsatti; Gianluca Davoli; Walter Cerroni; Carla Raffaelli; Wint Yi Poe; Riccardo Trivisonno; Raffaele Bolla (DRCN, 2023)

Distributing Intelligence for 6G Network Automation: Performance and Architectural Impact. - Sayantini Majumdar; Riccardo Trivisonno; Wint Yi Poe; Georg Carle (ICC, 2023)

Intelligent 6G Admission Control Leveraging LSTM-Based Request Forecasting. - Priyanka Pathak; Susanna Schwarzmann; Riccardo Trivisonno; Marius Pesavento (ICC, 2023)

An Intelligent User Plane to Support In-Network Computing in 6G Networks. - Susanna Schwarzmann; Riccardo Trivisonno; Stanislav Lange; Tugce Erkilic Civelek; Daniel Corujo; Riccardo Guerzoni; Thomas Zinner; Toktam Mahmoodi (ICC, 2023)

Adaptive Reliability for the Automated Control of Human-Robot Collaboration in Beyond-5G Networks. - Raffaele Bolla; Roberto Bruschi; Franco Davoli; Chiara Lombardo; Alireza Mohammadpour; Riccardo Trivisonno; Wint Yi Poe (IEEE Trans. Netw. Serv. Manag., 2023)

A 5G multi-gNodeB simulator for ultra-reliable 0.5-100 GHz communication in indoor Industry 4.0 environments. - Raffaele Bolla; Roberto Bruschi; Chiara Lombardo; Alireza Mohammadpour; Riccardo Trivisonno; Wint Yi Poe (Comput. Networks, 2023)

In-Network Computing and Split-AI in 6G: Enablers and Proof-of-Concept Studies. - Mattia Giovanni Spina; D. V. Soto Lebron; Susanna Schwarzmann; Riccardo Guerzoni; Riccardo Trivisonno; Antonio Iera; Floriano De Rango; George T. Karetsos; Thomas Zinner; Daniel Corujo (6GNet, 2024)

Collaborative Cooking in VR: Effects of Network Distortion in Multi-User Virtual Environments. - Javad Sameri; Sam Van Damme; Susanna Schwarzmann; Qing Wei 001; Riccardo Trivisonno; Filip De Turck; Maria Torres Vega (MMSys, 2024)

Distributed Intelligence for Dynamic Task Migration in the 6G User Plane using Deep Reinforcement Learning. - Sayantini Majumdar; Susanna Schwarzmann; Riccardo Trivisonno; Georg Carle (NOMS, 2024)

Distributed Intelligence for Automated 6G Network Management Using Reinforcement Learning. - Sayantini Majumdar; Susanna Schwarzmann; Riccardo Trivisonno; Georg Carle (NOMS, 2024)

Native Support of AI Applications in 6G Mobile Networks Via an Intelligent User Plane. - Susanna Schwarzmann; Tugce Erkilic Civelek; Antonio Iera; Daniel Corujo; George T. Karetsos; Riccardo Guerzoni; Osama Abboud; Andres Meseguer Valenzuela; Riccardo Trivisonno; Mattia Giovanni Spina; Thomas Zinner; Toktam Mahmoodi (WCNC, 2024)

Establish an Open Platform to Foster 6G Innovation and Research. - Nancy Alonistioti; Narcís Cardona; Patrick Waldemar; Riccardo Trivisonno (IEEE Commun. Mag., 2024)

Hierarchical Management Algorithms for Highly Reliable Communication in 6G Industrial Environments. - Davide Borsatti; Gianluca Davoli; Federico Tonini; Walter Cerroni; Carla Raffaelli; Wint Yi Poe; Riccardo Trivisonno (IEEE Netw. Lett., 2024)

Toward Massive Distribution of Intelligence for 6G Network Management Using Double Deep Q-Networks. - Sayantini Majumdar; Susanna Schwarzmann; Riccardo Trivisonno; Georg Carle (IEEE Trans. Netw. Serv. Manag., 2024)

End-to-End Performance Analysis for Intelligent IoT Devices in Goal-Oriented Networking. - Federico Tonini; Paolo Lanci; Davide Borsatti; Wint Yi Poe; Riccardo Trivisonno; Walter Cerroni (NetSoft, 2025)

Performance and Cost of Dynamic Reliability: A 6G Industrial Environment Perspective. - Gianluca Davoli; Federico Tonini; Davide Borsatti; Wint Yi Poe; Riccardo Trivisonno; Walter Cerroni (IEEE Access, 2025)