Sub-sampling of channels with time and frequency sparsity access
Résumé
This paper shows that sub-sampling of signals can
help in reducing the amount of data to be processed and stored
when time and frequency sparsity is considered. The context
is the one of the Internet of Things (IoT) for which a huge
quantity of users (i.e. objects) communicate with very few time
and frequency accesses. Taking advantage of the occupancy
theory of probabilities, we propose a theoretical model for such
communications and we show that the sampling frequency of