35 citations · 56 across the 5 of their papers we have counts for
5 papers
Algorithm-Supervised Millimeter Wave Indoor Localization using Tiny Neural Networks
Anish Shastri, Steve Blandino, Camillo Gentile +2
The quasi-optical propagation of millimeter-wave signals enables high-accuracy localization algorithms that employ geometric approaches or machine learning models. However, most al…
A Framework for Developing and Evaluating Algorithms for Estimating Multipath Propagation Parameters from Channel Sounder Measurements
Akbar Sayeed, Damla Guven, Michael Doebereiner +4
A framework is proposed for developing and evaluating algorithms for extracting multipath propagation components (MPCs) from measurements collected by channel sounders at millimete…
A Framework for Developing Algorithms for Estimating Propagation Parameters from Measurements
Akbar Sayeed, Peter Vouras, Camillo Gentile +13
A framework is proposed for developing and evaluating algorithms for extracting multipath propagation components (MPCs) from measurements collected by sounders at millimeter-wave (…
Quasi-Deterministic Channel Model for mmWaves: Mathematical Formalization and Validation
Mattia Lecci, Michele Polese, Chiehping Lai +4
5G and beyond networks will use, for the first time ever, the millimeter wave (mmWave) spectrum for mobile communications. Accurate performance evaluation is fundamental to the des…
Simplified Ray Tracing for the Millimeter Wave Channel: A Performance Evaluation
Mattia Lecci, Paolo Testolina, Marco Giordani +6
Millimeter-wave (mmWave) communication is one of the cornerstone innovations of fifth-generation (5G) wireless networks, thanks to the massive bandwidth available in these frequenc…