The Capacity of the Amplitude-Constrained Vector Gaussian Channel

21 Jan 2021 · Antonino Favano, Marco Ferrari, Maurizio Magarini, Luca Barletta ·

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.

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The Capacity of the Amplitude-Constrained Vector Gaussian Channel

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