The capacity of multiple-input multiple-output additive white Gaussian noise channels is investigated under peak amplitude constraints on the norm of the input vector. New insights on the capacity-achieving input distribution are presented. Furthermore, it is provided an iterative algorithm to numerically evaluate both the information capacity and the optimal input distribution of such channel.
@article{arxiv.2101.08643,
title = {The Capacity of the Amplitude-Constrained Vector Gaussian Channel},
author = {Antonino Favano and Marco Ferrari and Maurizio Magarini and Luca Barletta},
journal= {arXiv preprint arXiv:2101.08643},
year = {2021}
}