The Capacity of the Amplitude-Constrained Vector Gaussian Channel

01/21/2021
by   Antonino Favano, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/05/2022

Amplitude Constrained Vector Gaussian Wiretap Channel: Properties of the Secrecy-Capacity-Achieving Input Distribution

This paper studies secrecy-capacity of an n-dimensional Gaussian wiretap...
research
05/30/2020

Finite-Support Capacity-Approaching Distributions for AWGN Channels

In this paper, the Dynamic-Assignment Blahut-Arimoto (DAB) algorithm ide...
research
11/16/2020

On the Capacity of Intensity-Modulation Direct-Detection Gaussian Optical Wireless Communication Channels: A Tutorial

Optical wireless communication (OWC) using intensity-modulation and dire...
research
06/14/2022

Benefits of Additive Noise in Composing Classes with Bounded Capacity

We observe that given two (compatible) classes of functions ℱ and ℋ with...
research
05/09/2018

SWIPT Signalling over Complex AWGN Channels with Two Nonlinear Energy Harvester Models

Simultaneous Wireless Information and Power Transfer (SWIPT) is subject ...
research
05/22/2023

Cooperative Channel Capacity Learning

In this paper, the problem of determining the capacity of a communicatio...
research
02/01/2022

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

This paper studies secrecy-capacity of an n-dimensional Gaussian wiretap...

Please sign up or login with your details

Forgot password? Click here to reset