LIDAR and Position-Aided mmWave Beam Selection with Non-local CNNs and
Curriculum Training

LIDAR and Position-Aided mmWave Beam Selection with Non-local CNNs and Curriculum Training

29 April 2021

Mahdi Boloursaz Mashhadi

Mikolaj Jankowski

Deniz Gunduz

Marios Kountouris

Papers citing "LIDAR and Position-Aided mmWave Beam Selection with Non-local CNNs and Curriculum Training"

5 / 5 papers shown

Title
Multi-Modality Sensing in mmWave Beamforming for Connected Vehicles Using Deep Learning Muhammad Baqer Mollah Honggang Wang Mohammad Ataul Karim Hua Fang 30 0 0 08 Apr 2025
Beam Training in mmWave Vehicular Systems: Machine Learning for Decoupling Beam Selection Ibrahim Kilinc Ryan M. Dreifuerst Junghoon Kim Robert W. Heath 33 2 0 16 Apr 2024
DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset Ahmed Alkhateeb Gouranga Charan Tawfik Osman Andrew Hredzak João Morais Umut Demirhan Nikhil Srinivas 17 142 0 17 Nov 2022
Overhead-Free Blockage Detection and Precoding Through Physics-Based Graph Neural Networks: LIDAR Data Meets Ray Tracing Matteo Nerini B. Clerckx AI4CE 11 3 0 15 Sep 2022
AirNet: Neural Network Transmission over the Air Mikolaj Jankowski Deniz Gunduz K. Mikolajczyk 65 1 0 24 May 2021