Mauro Belgiovine

According to our database, Mauro Belgiovine authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge.

Mauro Belgiovine, Joshua Groen, Miquel Sirera, Chinenye Tassie, Ayberk Yarkin Yildiz, Sage Trudeau, Stratis Ioannidis, Kaushik R. Chowdhury

CoRR, 2024

T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge.

Mauro Belgiovine, Joshua Groen, Miquel Sirera, Chinenye Tassie, Sage Trudeau, Stratis Ioannidis, Kaushik R. Chowdhury

Proceedings of the IEEE INFOCOM 2024, 2024

MEGATRON: Machine Learning in 5G with Analysis of Traffic in Open Radio Access Networks.

Mauro Belgiovine, Jerry Gu, Joshua Groen, Miquel Sirera, Utku Demir, Kaushik R. Chowdhury

Proceedings of the International Conference on Computing, Networking and Communications, 2024

Leveraging Explainable AI for Reducing Queries of Performance Indicators in Open RAN.

Chinenye Tassie, Brian Kim, Joshua Groen, Mauro Belgiovine, Kaushik R. Chowdhury

Proceedings of the IEEE International Conference on Communications, 2024

TRACTOR: Traffic Analysis and Classification Tool for Open RAN.

Joshua Groen, Mauro Belgiovine, Utku Demir, Brian Kim, Kaushik R. Chowdhury

Proceedings of the IEEE International Conference on Communications, 2024

2023

Going beyond RF: A survey on how AI-enabled multimodal beamforming will shape the NextG standard.

Debashri Roy, Batool Salehi, Stella Banou, Subhramoy Mohanti, Guillem Reus Muns, Mauro Belgiovine, Prashant Ganesh, Chris Dick, Kaushik R. Chowdhury

Comput. Networks, June, 2023

Detection of Co- Existing RF Signals in CBRS Using ML: Dataset and API-Based Collection Testbed.

Chinenye Tassie, Abdo Gaber, Vini Chaudhary, Nasim Soltani, Mauro Belgiovine, Michael Löhning, Vincent Kotzsch, Charles Schroeder, Kaushik R. Chowdhury

IEEE Commun. Mag., 2023

Improve Your Aim: A Deep Reinforcement Learning Approach for 5G NR mmWave Beam Refinement.

Mauro Belgiovine, Kaushik R. Chowdhury

Proceedings of the IEEE International Conference on Communications, 2023

2022

Real-world Radar and LTE Signals Dataset Collected Over-the-air in Shared CBRS Band.

Chinenye Tassie, Abdo Gaber, Vini Chaudhary, Nasim Soltani, Mauro Belgiovine, Michael Löhning, Vincent Kotzsch, Charles Schroeder, Kaushik R. Chowdhury

Dataset, October, 2022

Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices.

Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik R. Chowdhury

IEEE Internet Things Mag., 2022

Going Beyond RF: How AI-enabled Multimodal Beamforming will Shape the NextG Standard.

Debashri Roy, Batool Salehi, Stella Banou, Subhramoy Mohanti, Guillem Reus Muns, Mauro Belgiovine, Prashant Ganesh, Carlos Bocanegra, Chris Dick, Kaushik R. Chowdhury

CoRR, 2022

Automated deep learning-based wide-band receiver.

Bahar Azari, Hai Cheng, Nasim Soltani, Haoqing Li, Yanyu Li, Mauro Belgiovine, Tales Imbiriba, Salvatore D'Oro, Tommaso Melodia, Yanzhi Wang, Pau Closas, Kaushik R. Chowdhury, Deniz Erdogmus

Comput. Networks, 2022

2021

Deep Learning at the Edge for Channel Estimation in Beyond-5G Massive MIMO.

Mauro Belgiovine, Kunal Sankhe, Carlos Bocanegra, Debashri Roy, Kaushik R. Chowdhury

IEEE Wirel. Commun., 2021

2020

No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments.

Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Luca Angioloni, Francesco Restuccia, Salvatore D'Oro, Tommaso Melodia, Stratis Ioannidis, Kaushik R. Chowdhury

IEEE Trans. Cogn. Commun. Netw., 2020

Machine Learning on Camera Images for Fast mmWave Beamforming.

Batool Salehi, Mauro Belgiovine, Sara Garcia Sanchez, Jennifer G. Dy, Stratis Ioannidis, Kaushik R. Chowdhury

Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020

Software Defect Prediction on Unlabelled Datasets: A Comparative Study.

Elisabetta Ronchieri, Marco Canaparo, Mauro Belgiovine

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019

DeepRadioID: Real-Time Channel-Resilient Optimization of Deep Learning-based Radio Fingerprinting Algorithms.

Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Mauro Belgiovine, Luca Angioloni, Stratis Ioannidis, Kaushik R. Chowdhury, Tommaso Melodia

Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks.

Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Shamnaz Riyaz, Stratis Ioannidis, Kaushik R. Chowdhury

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019