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.

The Capacity of the Amplitude-Constrained Vector Gaussian Channel

Favano A.;Ferrari M.;Magarini M.;Barletta L.
2021-01-01

Abstract

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.
IEEE International Symposium on Information Theory - Proceedings
978-1-5386-8209-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1192263
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