Accuracy vs. Complexity for mmWave Ray-Tracing: A Full Stack Perspective

2 code implementations • 14 Jul 2020 • Mattia Lecci, Paolo Testolina, Michele Polese, Marco Giordani, Michele Zorzi

The millimeter wave (mmWave) band will provide multi-gigabits-per-second connectivity in the radio access of future wireless systems.

Quasi-Deterministic Channel Model for mmWaves: Mathematical Formalization and Validation

1 code implementation • 1 Jun 2020 • Mattia Lecci, Michele Polese, Chiehping Lai, Jian Wang, Camillo Gentile, Nada Golmie, Michele Zorzi

5G and beyond networks will use, for the first time ever, the millimeter wave (mmWave) spectrum for mobile communications.

Machine Learning-aided Design of Thinned Antenna Arrays for Optimized Network Level Performance

no code implementations • 25 Jan 2020 • Mattia Lecci, Paolo Testolina, Mattia Rebato, Alberto Testolin, Michele Zorzi

With the advent of millimeter wave (mmWave) communications, the combination of a detailed 5G network simulator with an accurate antenna radiation model is required to analyze the realistic performance of complex cellular scenarios.

BIG-bench Machine Learning

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design

no code implementations • 29 Aug 2019 • Paolo Testolina, Mattia Lecci, Mattia Rebato, Alberto Testolin, Jonathan Gambini, Roberto Flamini, Christian Mazzucco, Michele Zorzi

Therefore, it is possible to perform a global numerical optimization over the vast multi-dimensional parameter space, in a fraction of the time that would be required by a simple brute-force search.

BIG-bench Machine Learning