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20212024
most citedLeveraging Machine Learning for Industrial Wireless Communications

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2024

Evolution of the 5G New Radio Two-Step Random Access towards 6G Unsourced MAC

Patrick Agostini, Jean-Francois Chamberland, Federico Clazzer +7

This report summarizes some considerations on possible evolutions of grant-free random access in the next generation of the 3GPP wireless cellular standard. The analysis is carried…

cs.NI2023

Convergence of Manufacturing and Networking in Future Factories

Ilaria Malanchini, Nicola Michailow, Patrick Agostini +8

The roll out of 5G has been mainly characterized by its distinct support for vertical industries, especially manufacturing. Leveraging synergies among these two worlds, namely prod…

eess.SP2023★ 1 cited

BiSPARCs for Unsourced Random Access in Massive MIMO

Patrick Agostini, Zoran Utkovski, Slawomir Stanczak

This paper considers the massive MIMO unsourced random access problem in a quasi-static Rayleigh fading setting. The proposed coding scheme is based on a concatenation of a "conven…

cs.IT2022

Constant Weight Codes with Gabor Dictionaries and Bayesian Decoding for Massive Random Access

Patrick Agostini, Zoran Utkovski, Alexis Decurninge +2

This paper considers a general framework for massive random access based on sparse superposition coding. We provide guidelines for the code design and propose the use of constant-w…

cs.NI2021★ 4 cited

Leveraging Machine Learning for Industrial Wireless Communications

Ilaria Malanchini, Patrick Agostini, Khurshid Alam +10

Two main trends characterize today's communication landscape and are finding their way into industrial facilities: the rollout of 5G with its distinct support for vertical industri…