On properties of the support of capacity-achieving distributions for additive noise channel models with input cost constraints

J Fahs, I Abou-Faycal - IEEE Transactions on Information …, 2017 - ieeexplore.ieee.org
We study the classical problem of characterizing the channel capacity and its achieving
distribution in a generic fashion. We derive a simple relation between three parameters: the …

On the capacity of the AWGN channel with additive radar interference

S Shahi, D Tuninetti, N Devroye - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper investigates the capacity of a communications channel that, in addition to
additive white Gaussian noise, also suffers from interference caused by a co-existing radar …

Cooperative channel capacity learning

NA Letizia, AM Tonello, HV Poor - IEEE Communications …, 2023 - ieeexplore.ieee.org
In this letter, the problem of determining the capacity of a communication channel is
formulated as a cooperative game, between a generator and a discriminator, that is solved …

Capacity-achieving signals for point-to-point and multiple-access channels under non-Gaussian noise and peak power constraint

M Ranjbar, NH Tran, TV Nguyen, MC Gursoy… - IEEE …, 2018 - ieeexplore.ieee.org
This paper generalizes and proves the discrete and finite nature of the capacity-achieving
signaling schemes for general classes of non-Gaussian point-to-point and multiple-access …

[PDF][PDF] Input constraints and noise density functions: a simple relation for bounded-support and discrete-capacity achieving inputs

J Fahs, I Abou-Faycal - arXiv preprint arXiv:1602.00878, 2016 - researchgate.net
We study the classical problem of characterizing the channel capacity and its achieving
distribution in a generic fashion. We derive a simple relation between three parameters: the …

Optimal Signaling Schemes and Sum-Capacity of 1-bit ADC Fading 2-User MACs under Gaussian-Mixture Interference

MH Rahman, M Ranjbar, NH Tran… - … in Communications and …, 2021 - frontiersin.org
In this work, we establish the sum-capacity-achieving signaling schemes and the sum-
capacity of a 2-user multiple access Rayleigh fading channel with 1-bit output quantization …

Capacity-achieving input distribution in per-sample zero-dispersion model of optical fiber

J Fahs, A Tchamkerten, MI Yousefi - arXiv preprint arXiv:1704.04904, 2017 - arxiv.org
The per-sample zero-dispersion channel model of the optical fiber is considered. It is shown
that capacity is uniquely achieved by an input probability distribution that has continuous …

Capacity-achieving input distribution in per-sample zero-dispersion model of optical fiber

J Fahs, A Tchamkerten… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The per-sample zero-dispersion channel model of the optical fiber is considered. It is shown
that capacity is uniquely achieved by an input probability distribution that has continuous …

On the capacity of the Gaussian mixture channel under average and peak power constraints

L Huang, Y Hong, E Viterbo - 2015 22nd International …, 2015 - ieeexplore.ieee.org
In many communications systems, the Gaussian mixture model is extensively used to
characterize non-Gaussian man-made and natural interference. We study the capacity of the …

Optimal inputs of single-user and multi-user non-Gaussian aggregate interference channels

M Ranjbar, NH Tran, TV Nguyen… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
This paper generalizes and proves the discrete and finite nature of the optimal signaling
schemes for general classes of non-Gaussian aggregate interference point-to-point and …