The deterministic identification (DI) capacity is developed in multiple settings of channels
with power constraints. A full characterization is established for the DI capacity of the …

This paper studies an n-dimensional additive Gaussian noise channel with a peak-power-
constrained input. It is well known that, in this case, when n= 1 the capacity-achieving input …

In this work, the capacity of multiple-input multiple-output channels that are subject to
constraints on the support of the input is studied. The paper consists of two parts. The first …

This paper studies the capacity of an n-dimensional vector Gaussian noise channel subject
to the constraint that an input must lie in the ball of radius R centered at the origin. It is known …

As Internet of Things (IoT) devices proliferate, sustainable methods for powering them are
becoming indispensable. The wireless provision of power enables battery-free operation …

In this paper, an analysis of an input distribution that achieves the secrecy capacity of a
general degraded additive noise wiretap channel is presented. In particular, using convex …

The use of 1-bit analog-to-digital converters (ADCs) is seen as a promising approach to
significantly reduce the power consumption and hardware cost of multiple-input multiple …

New capacity upper bounds are presented for the discrete-time Poisson channel with no
dark current and an average-power constraint. These bounds are a consequence of …

This work considers a Poisson noise channel with an amplitude constraint. It is well-known
that the capacity-achieving input distribution for this channel is discrete with finitely many …

The power consumption of high-speed, high-resolution analog to digital converters (ADCs)
is a limiting factor in implementing large-bandwidth mm-wave communication systems. A …