This paper studies secrecy-capacity of an n-dimensional Gaussian wiretap channel under the peak-power constraint. This work determines the largest peak-power constraint Rn such that an input distribution uniformly distributed on a single sphere is optimal; this regime is termed the low amplitude regime. The asymptotic of Rn as n goes to infinity is completely characterized as a function of noise variance at both receivers. Moreover, the secrecy-capacity is also characterized in a form amenable for computation. Furthermore, several numerical examples are provided, such as the example of the secrecy-capacity achieving distribution outside of the low amplitude regime.

On the Capacity Achieving Input of Amplitude Constrained Vector Gaussian Wiretap Channel

Favano A.;Barletta L.;
2022-01-01

Abstract

This paper studies secrecy-capacity of an n-dimensional Gaussian wiretap channel under the peak-power constraint. This work determines the largest peak-power constraint Rn such that an input distribution uniformly distributed on a single sphere is optimal; this regime is termed the low amplitude regime. The asymptotic of Rn as n goes to infinity is completely characterized as a function of noise variance at both receivers. Moreover, the secrecy-capacity is also characterized in a form amenable for computation. Furthermore, several numerical examples are provided, such as the example of the secrecy-capacity achieving distribution outside of the low amplitude regime.
2022
IEEE International Symposium on Information Theory - Proceedings
978-1-6654-2159-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1220350
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