Federated Channel Learning for Intelligent Reflecting Surfaces With Fewer Pilot Signals. (arXiv:2205.03196v1 [eess.SP])

Web: http://arxiv.org/abs/2205.03196

Channel estimation is a critical task in intelligent reflecting surface
(IRS)-assisted wireless systems due to the uncertainties imposed by environment
dynamics and rapid changes in the IRS configuration. To deal with these
uncertainties, deep learning (DL) approaches have been proposed. Previous works
consider centralized learning (CL) approach for model training, which entails
the collection of the whole training dataset from the users at the base station
(BS), hence introducing huge transmission overhead for data collection. To
address this challenge, this …

arxiv learning pilot