Self-Supervised Millimeter Wave Indoor Localization using Tiny Neural Networks

no code implementations • 2 Jan 2024 • Anish Shastri, Steve Blandino, Camillo Gentile, Chiehping Lai, Paolo Casari

In this work, we propose to use tiny neural networks (NNs) to learn the relationship between angle difference-of-arrival (ADoA) measurements and locations of a receiver in an indoor environment.

Indoor Localization

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.