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Riccardo Trivisonno
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2020 – today
- 2024
- [j9]Nancy Alonistioti, Narcís Cardona, Patrick Waldemar, Riccardo Trivisonno
:
Establish an Open Platform to Foster 6G Innovation and Research. IEEE Commun. Mag. 62(1): 8-10 (2024) - [j8]Davide Borsatti
Hierarchical Management Algorithms for Highly Reliable Communication in 6G Industrial Environments. IEEE Netw. Lett. 6(1): 36-40 (2024) - [j7]Sayantini Majumdar
Toward Massive Distribution of Intelligence for 6G Network Management Using Double Deep Q-Networks. IEEE Trans. Netw. Serv. Manag. 21(2): 2077-2094 (2024) - [c36]Javad Sameri
Collaborative Cooking in VR: Effects of Network Distortion in Multi-User Virtual Environments. MMSys 2024: 509-515 - [c35]Sayantini Majumdar, Susanna Schwarzmann, Riccardo Trivisonno
Distributed Intelligence for Dynamic Task Migration in the 6G User Plane using Deep Reinforcement Learning. NOMS 2024: 1-9 - [c34]Sayantini Majumdar, Susanna Schwarzmann, Riccardo Trivisonno
Distributed Intelligence for Automated 6G Network Management Using Reinforcement Learning. NOMS 2024: 1-4 - [c33]Susanna Schwarzmann, Tugce Erkilic Civelek, Antonio Iera, Daniel Corujo, George T. Karetsos, Riccardo Guerzoni, Osama Abboud, Andres Meseguer Valenzuela, Riccardo Trivisonno
Native Support of AI Applications in 6G Mobile Networks Via an Intelligent User Plane. WCNC 2024: 1-6 - 2023
- [j6]Raffaele Bolla, Roberto Bruschi, Chiara Lombardo, Alireza Mohammadpour
A 5G multi-gNodeB simulator for ultra-reliable 0.5-100 GHz communication in indoor Industry 4.0 environments. Comput. Networks 237: 110103 (2023) - [j5]Raffaele Bolla, Roberto Bruschi
Adaptive Reliability for the Automated Control of Human-Robot Collaboration in Beyond-5G Networks. IEEE Trans. Netw. Serv. Manag. 20(3): 2489-2503 (2023) - [c32]Davide Borsatti, Gianluca Davoli
Distributed Management of Dynamic Reliability in Beyond 5G Industrial Environments for Extreme Low Latency Communication. DRCN 2023: 1-7 - [c31]Susanna Schwarzmann, Riccardo Trivisonno
An Intelligent User Plane to Support In-Network Computing in 6G Networks. ICC 2023: 1100-1105 - [c30]Priyanka Pathak, Susanna Schwarzmann, Riccardo Trivisonno
Intelligent 6G Admission Control Leveraging LSTM-Based Request Forecasting. ICC 2023: 5154-5159 - [c29]Sayantini Majumdar, Riccardo Trivisonno
Distributing Intelligence for 6G Network Automation: Performance and Architectural Impact. ICC 2023: 6224-6229 - 2022
- [j4]Susanna Schwarzmann
ML-Based QoE Estimation in 5G Networks Using Different Regression Techniques. IEEE Trans. Netw. Serv. Manag. 19(3): 3516-3532 (2022) - [c28]Davide Borsatti
Adaptive network reliability for human-robot interaction in beyond 5G industrial applications. DRCN 2022: 1-6 - [c27]Sayantini Majumdar, Leonardo Goratti, Riccardo Trivisonno
Improving Scalability of 6G Network Automation with Distributed Deep Q-Networks. GLOBECOM 2022: 1265-1270 - [c26]Priyanka Pathak, Susanna Schwarzmann, Riccardo Trivisonno
Intelligent Admission Control in 6G Networks for Resource-efficient Reliable Connectivity. GLOBECOM 2022: 3851-3856 - [c25]Sayantini Majumdar, Riccardo Trivisonno
Scalability of Distributed Intelligence Architecture for 6G Network Automation. ICC 2022: 2321-2326 - 2021
- [c24]Marcin Bosk
Using 5G QoS Mechanisms to Achieve QoE-Aware Resource Allocation. CNSM 2021: 283-291 - [c23]Christopher Lehmann, Riccardo Trivisonno
On the Challenges and Performance of Cooperative Communication in 5G and B5G Systems. GLOBECOM 2021: 1-6 - [c22]Sayantini Majumdar, Riccardo Trivisonno
Understanding Exploration and Exploitation of Q-Learning Agents in B5G Network Management. GLOBECOM (Workshops) 2021: 1-6 - [c21]Priyanka Pathak, Clarissa Cassales Marquezan, Riccardo Trivisonno
Towards Cost-efficient Reliable Vehicle-MEC Connectivity for B5G Mobile Networks: Challenges and Future Directions. VTC Fall 2021: 1-5 - [i2]Sayantini Majumdar, Riccardo Trivisonno, Georg Carle:
Q-Learning for Conflict Resolution in B5G Network Automation. CoRR abs/2107.13268 (2021) - 2020
- [c20]Susanna Schwarzmann, Clarissa Cassales Marquezan, Riccardo Trivisonno
Accuracy vs. Cost Trade-off for Machine Learning Based QoE Estimation in 5G Networks. ICC 2020: 1-6 - [c19]Riccardo Trivisonno
QoS Enhancements for V2X Services in 5G Networks. VTC Spring 2020: 1-5
2010 – 2019
- 2019
- [c18]Susanna Schwarzmann, Clarissa Cassales Marquezan, Marcin Bosk
Estimating Video Streaming QoE in the 5G Architecture Using Machine Learning. Internet-QoE@MOBICOM 2019: 7-12 - 2018
- [j3]Riccardo Trivisonno
mIoT Slice for 5G Systems: Design and Performance Evaluation. Sensors 18(2): 635 (2018) - [c17]Massimo Condoluci, Riccardo Trivisonno
mIot Connectivity Solutions for Enhanced 5G Systems. ICC 2018: 1-7 - 2017
- [j2]Xueli An, Chan Zhou, Riccardo Trivisonno
On end to end network slicing for 5G communication systems. Trans. Emerg. Telecommun. Technol. 28(4) (2017) - [c16]Riccardo Trivisonno
Network slicing for 5G systems: A review from an architecture and standardization perspective. CSCN 2017: 36-41 - [c15]Xueli An, Riccardo Trivisonno
Architecture modularisation for next generation mobile networks. EuCNC 2017: 1-6 - [c14]Kashif Mahmood, Toktam Mahmoodi
On the integration of verticals through 5G control plane. EuCNC 2017: 1-5 - 2016
- [i1]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, Cao-Thanh Phan, Frederic Klamm:
End-to-End Architecture Modularisation and Slicing for Next Generation Networks. CoRR abs/1611.00566 (2016) - 2015
- [j1]Riccardo Trivisonno
SDN-based 5G mobile networks: architecture, functions, procedures and backward compatibility. Trans. Emerg. Telecommun. Technol. 26(1): 82-92 (2015) - [c13]Hans Joachim Einsiedler, Anastasius Gavras
System design for 5G converged networks. EuCNC 2015: 391-396 - [c12]Riccardo Trivisonno, Riccardo Guerzoni, Ishan Vaishnavi, Ansah Frimpong:
Network Resource Management and QoS in SDN-Enabled 5G Systems. GLOBECOM 2015: 1-7 - [c11]Riccardo Trivisonno
Towards zero latency Software Defined 5G Networks. ICC Workshops 2015: 2566-2571 - [c10]Riccardo Guerzoni, Ishan Vaishnavi, Ansah Frimpong, Riccardo Trivisonno
Virtual Link Mapping for delay critical services in SDN-enabled 5G networks. NetSoft 2015: 1-9 - [c9]Ishan Vaishnavi, Riccardo Guerzoni, Riccardo Trivisonno
Recursive, hierarchical embedding of virtual infrastructure in multi-domain substrates. NetSoft 2015: 1-9 - 2014
- [c8]Riccardo Guerzoni, Riccardo Trivisonno
SDN-Based Architecture and Procedures for 5G Networks. 5GU 2014: 209-214 - [c7]Zoran Despotovic, Artur Hecker
VNetMapper: A fast and scalable approach to virtual networks embedding. ICCCN 2014: 1-6 - [c6]Riccardo Guerzoni, Riccardo Trivisonno
A novel approach to virtual networks embedding for SDN management and orchestration. NOMS 2014: 1-7 - [c5]Riccardo Guerzoni, Zoran Despotovic, Riccardo Trivisonno
Modeling Reliability Requirements in Coordinated Node and Link Mapping. SRDS 2014: 321-330 - 2013
- [c4]Riccardo Trivisonno
Virtual Links Mapping in Future SDN-Enabled Networks. SDN4FNS 2013: 1-5 - 2010
- [c3]Raymond Kwan, Rob Arnott, Robert Paterson, Riccardo Trivisonno
On Mobility Load Balancing for LTE Systems. VTC Fall 2010: 1-5 - [c2]Raymond Kwan, Rob Arnott, Riccardo Trivisonno
On Pre-Emption and Congestion Control for LTE Systems. VTC Fall 2010: 1-5
2000 – 2009
- 2007
- [c1]Nicola Riato, Stefano Sorrentino, Davide Franco, Carlo Masseroni, Marco Rastelli, Riccardo Trivisonno
Impact of Mobility on Physical and MAC Layer Algorithms Performance in Wimax System. PIMRC 2007: 1-6
Coauthor Index
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