Damiano Badini

Orcid: 0000-0003-0845-2784

According to our database1, Damiano Badini authored at least 16 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2026
High-fidelity RF mapping: Assessing environmental modeling in 6G network digital twins.
Comput. Networks, 2026

2025
Chartwin: a Case Study on Channel Charting-aided Localization in Dynamic Digital Network Twins.
CoRR, August, 2025

Bayesian EM Digital Twins Channel Estimation.
IEEE Wirel. Commun. Lett., May, 2025

AI-empowered Real-Time Line-Of-Sight Identification via Network Digital Twins.
Proceedings of the IEEE INFOCOM 2025, 2025

2024
Deep Learning-Based Target-to-User Association in Integrated Sensing and Communication Systems.
IEEE J. Sel. Top. Signal Process., July, 2024

Integrated Sensing and Communication System via Dual-Domain Waveform Superposition.
IEEE Trans. Wirel. Commun., May, 2024

2023
Target-to-User Association in ISAC Systems With Vehicle-Lodged RIS.
IEEE Wirel. Commun. Lett., September, 2023

High Resolution Integrated Sensing and Communication System by Out-Of-Band Emission.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Experimental Demonstration of ISAC Waveform Design Exploring Out-of-Band Emission.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Model-free machine learning of wireless SISO/MIMO communications.
Comput. Commun., 2022

Position-agnostic Algebraic Estimation of 6G V2X MIMO Channels via Unsupervised Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

2021
Deep Learning of Transferable MIMO Channel Modes for 6G V2X Communications.
CoRR, 2021

Channel Estimation for 6G V2X HybridSystems using Multi-Vehicular Learning.
CoRR, 2021

Channel Estimation for 6G V2X Hybrid Systems Using Multi-Vehicular Learning.
IEEE Access, 2021

Multi-Vehicular Beam Space Learning for Channel Estimation in 6G V2X Systems.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Scalable Machine Learning Algorithms to Design Massive MIMO Systems.
Proceedings of the MSWiM '21: 24th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Alicante, Spain, November 22, 2021


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