Papers

4

Total Citations

14

H-Index

2

About

Riccardo Trivisonno is a telecommunications researcher specializing in next-generation wireless networks, with a particular focus on ultra-reliable low-latency communications (URLLC) for industrial applications. His work sits at the intersection of 5G and beyond-5G (6G) network design and the emerging demands of Industry 4.0, where human-robot collaboration introduces unprecedented requirements for network safety and responsiveness. Trivisonno's most significant contributions center on developing adaptive reliability frameworks for wireless private networks operating in smart industrial environments. His research tackles one of the field's most pressing challenges: ensuring that network control and management systems can dynamically respond to critical situations — particularly those involving humans working alongside moving robotic systems — with extreme reliability and minimal latency. He has proposed both hierarchical and distributed management algorithms that enable flexible, real-time resource allocation in these demanding contexts. His published works, which have collectively garnered around 14 citations since 2022, reflect a consistent and focused research agenda that bridges theoretical network design with practical industrial deployment scenarios. For students and researchers exploring the future of industrial wireless communications, Trivisonno's contributions offer valuable insights into how 6G infrastructure can be engineered to meet the safety-critical demands of tomorrow's automated factories.

Research Focus

Key Achievements

2
H-Index
4
Papers
14
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive network reliability for human-robot interaction in beyond 5G industrial applications
5 citations · 2022
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Huawei Technologies (Germany)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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