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Matteo Pagin
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2020 – today
- 2024
- [i15]Manishika Rawat, Matteo Pagin, Marco Giordani, Louis-Adrien Dufrene, Quentin Lampin, Michele Zorzi:
Optimizing Energy Efficiency of 5G RedCap Beam Management for Smart Agriculture Applications. CoRR abs/2404.15857 (2024) - 2023
- [c17]Manishika Rawat, Matteo Pagin, Marco Giordani, Louis-Adrien Dufrene, Quentin Lampin
, Michele Zorzi:
Minimizing Energy Consumption for 5G NR Beam Management for RedCap Devices. GLOBECOM 2023: 7091-7096 - [c16]Matteo Pagin, Leonardo Badia, Michele Zorzi:
A Markov Game of Age of Information From Strategic Sources With Full Online Information. ICC 2023: 76-81 - [c15]Hitesh Poddar, Tomoki Yoshimura, Matteo Pagin, Theodore S. Rappaport, Art Ishii, Michele Zorzi:
Full-Stack End-to-End mmWave Simulations Using 3GPP and NYUSIM Channel Model in ns-3. ICC 2023: 1048-1053 - [c14]Matteo Pagin
, Tommaso Zugno, Marco Giordani, Louis-Adrien Dufrene, Quentin Lampin
, Michele Zorzi:
5G NR-Light at Millimeter Waves: Design Guidelines for Mid-Market IoT Use Cases. ICNC 2023: 652-658 - [c13]Amir Ashtari Gargari, Andrea Ortiz, Matteo Pagin
, Anja Klein, Matthias Hollick, Michele Zorzi, Arash Asadi:
Safehaul: Risk-Averse Learning for Reliable mmWave Self-Backhauling in 6G Networks. INFOCOM 2023: 1-10 - [c12]Alberto Rech, Matteo Pagin
, Stefano Tomasin
, Federico Moretto, Leonardo Badia, Marco Giordani, Jonathan Gambini, Michele Zorzi:
Downlink TDMA Scheduling for IRS-aided Communications with Block-Static Constraints. WCNC 2023: 1-6 - [c11]Matteo Pagin
, Sandra Lagén
, Biljana Bojovic
, Michele Polese
, Michele Zorzi
:
Improving the Efficiency of MIMO Simulations in ns-3. WNS3 2023: 1-9 - [c10]Hitesh Poddar
, Tomoki Yoshimura
, Matteo Pagin
, Theodore S. Rappaport
, Art Ishii
, Michele Zorzi
:
ns-3 Implementation of Sub-Terahertz and Millimeter Wave Drop-based NYU Channel Model (NYUSIM). WNS3 2023: 19-27 - [c9]Mattia Sandri
, Matteo Pagin
, Marco Giordani
, Michele Zorzi
:
Implementation of a Channel Model for Non-Terrestrial Networks in ns-3. WNS3 2023: 28-34 - [c8]Amir Ashtari Gargari, Matteo Pagin
, Michele Polese, Michele Zorzi:
6G Integrated Access and Backhaul Networks with Sub-Terahertz Links. WONS 2023: 13-19 - [c7]Amir Ashtari Gargari, Matteo Pagin
, Andrea Ortiz, Nairy Moghadas-Gholian
, Michele Polese, Michele Zorzi:
Demo:[SeBaSi] system-level Integrated Access and Backhaul simulator for self-backhauling. WoWMoM 2023: 355-357 - [i14]Amir Ashtari Gargari, Andrea Ortiz, Matteo Pagin
, Anja Klein, Matthias Hollick, Michele Zorzi, Arash Asadi:
Safehaul: Risk-Averse Learning for Reliable mmWave Self-Backhauling in 6G Networks. CoRR abs/2301.03201 (2023) - [i13]Alberto Rech, Matteo Pagin
, Stefano Tomasin
, Federico Moretto, Leonardo Badia, Marco Giordani, Jonathan Gambini, Michele Zorzi:
Downlink TDMA Scheduling for IRS-aided Communications with Block-Static Constraints. CoRR abs/2301.10738 (2023) - [i12]Hitesh Poddar, Tomoki Yoshimura, Matteo Pagin
, Theodore S. Rappaport, Art Ishii, Michele Zorzi:
Full-Stack End-To-End mmWave Simulations Using 3GPP and NYUSIM Channel Model in ns-3. CoRR abs/2302.12385 (2023) - [i11]Matteo Pagin
, Leonardo Badia, Michele Zorzi:
A Markov Game of Age of Information From Strategic Sources With Full Online Information. CoRR abs/2302.12596 (2023) - [i10]Hitesh Poddar, Tomoki Yoshimura, Matteo Pagin
, Theodore S. Rappaport, Art Ishii, Michele Zorzi:
ns-3 Implementation of Sub-Terahertz and Millimeter Wave Drop-based NYU Channel Model (NYUSIM). CoRR abs/2305.01828 (2023) - [i9]Matteo Pagin
, Sandra Lagén, Biljana Bojovic, Michele Polese, Michele Zorzi:
Improving the Efficiency of MIMO Simulations in ns-3. CoRR abs/2305.04689 (2023) - [i8]Mattia Sandri, Matteo Pagin
, Marco Giordani, Michele Zorzi:
Implementation of a Channel Model for Non-Terrestrial Networks in ns-3. CoRR abs/2305.05544 (2023) - [i7]Alberto Rech, Leonardo Badia, Stefano Tomasin, Matteo Pagin, Marco Giordani, Jonathan Gambini, Michele Zorzi:
Downlink Clustering-Based Scheduling of IRS-Assisted Communications With Reconfiguration Constraints. CoRR abs/2305.14051 (2023) - [i6]Amir Ashtari Gargari, Matteo Pagin
, Andrea Ortiz, Nairy Moghadas-Gholian, Michele Polese, Michele Zorzi:
SeBaSi system-level Integrated Access and Backhaul simulator for self-backhauling. CoRR abs/2309.05790 (2023) - [i5]Manishika Rawat, Matteo Pagin
, Marco Giordani, Louis-Adrien Dufrene, Quentin Lampin, Michele Zorzi:
Minimizing Energy Consumption for 5G NR Beam Management for RedCap Devices. CoRR abs/2309.14971 (2023) - 2022
- [j1]Matteo Pagin
, Tommaso Zugno
, Michele Polese
, Michele Zorzi
:
Resource Management for 5G NR Integrated Access and Backhaul: A Semi-Centralized Approach. IEEE Trans. Wirel. Commun. 21(2): 753-767 (2022) - [c6]Matteo Pagin
, Marco Giordani, Amir Ashtari Gargari, Alberto Rech, Federico Moretto, Stefano Tomasin
, Jonathan Gambini, Michele Zorzi:
End-to-End Simulation of 5G Networks Assisted by IRS and AF Relays. MedComNet 2022: 150-157 - [i4]Matteo Pagin
, Marco Giordani, Amir Ashtari Gargari, Alberto Rech, Federico Moretto, Stefano Tomasin, Jonathan Gambini, Michele Zorzi:
End-to-End Simulation of 5G Networks Assisted by IRS and AF Relays. CoRR abs/2203.01209 (2022) - 2021
- [b1]Matteo Pagin:
Data compression of neural spike signals. University of Ulm, Germany, 2021 - [i3]Matteo Pagin, Tommaso Zugno, Michele Polese, Michele Zorzi:
Resource Management for 5G NR Integrated Access and Backhaul: a Semi-centralized Approach. CoRR abs/2102.09938 (2021) - [i2]Matteo Pagin, Tommaso Zugno, Marco Giordani, Louis-Adrien Dufrene, Quentin Lampin, Michele Zorzi:
Can 5G NR-Light Operate at Millimeter Waves? Design Guidelines for Mid-Market IoT Use Cases. CoRR abs/2109.15017 (2021) - 2020
- [c5]Matteo Pagin
, Francesco Agostini
, Tommaso Zugno, Michele Polese
, Michele Zorzi:
Enabling RAN Slicing Through Carrier Aggregation in mmWave Cellular Networks. MedComNet 2020: 1-8 - [i1]Matteo Pagin, Francesco Agostini, Tommaso Zugno, Michele Polese, Michele Zorzi:
Enabling RAN Slicing Through Carrier Aggregation in mmWave Cellular Networks. CoRR abs/2005.10142 (2020)
2010 – 2019
- 2018
- [c4]Matteo Pagin, Maurits Ortmanns:
Study of Compressed Sensing and Predictor Techniques for the Compression of Neural Signals under the Influence of Noise. EMBC 2018: 1102-1105 - 2017
- [c3]Matteo Pagin, Maurits Ortmanns:
A neural data lossless compression scheme based on spatial and temporal prediction. BioCAS 2017: 1-4 - [c2]Matteo Pagin, Maurits Ortmanns:
Evaluation of logarithmic vs. linear ADCs for neural signal acquisition and reconstruction. EMBC 2017: 4387-4390 - [c1]Matteo Pagin, Joachim Becker, Maurits Ortmanns:
Evaluation of spike sorting and compression for digitally reconfigurable non-uniform quantization. NEWCAS 2017: 177-180
Coauthor Index
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