Self-Learning for Received Signal Strength Map Reconstruction with Neural Architecture Search

no code implementations • 17 May 2021 • Aleksandra Malkova, Loic Pauletto, Christophe Villien, Benoit Denis, Massih-Reza Amini

In this paper, we present a Neural Network (NN) model based on Neural Architecture Search (NAS) and self-learning for received signal strength (RSS) map reconstruction out of sparse single-snapshot input measurements, in the case where data-augmentation by side deterministic simulations cannot be performed.

Data Augmentation Neural Architecture Search +1