TY - GEN
T1 - Optimum Performance of Nonlinearly Distorted Signals with General Distributions
AU - Guerreiro, João
AU - Dinis, Rui
AU - Montezuma, Paulo
N1 - Funding Information:
1This work was supported by Fundação para a Ciência e Tecnologia (FCT) and Instituto de Telecomunicações under projects UIDB/50008/2020 and MASSIVE5G (SAICT-45-2017-02).
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Nonlinearities are one of the most common impairments that take place in communication systems. Conventionally, nonlinear distortion is regarded as an additional noise component that degrades the performance, leading to irreducible error floors. However, it was shown that the optimum performance of zero-mean Guassian-like signals (such as the ones associated with regular orthogonal frequency division multiplexing (OFDM) modulations) submitted to severe nonlinear distortion effects can even be better than the one with linear transmitters.In this paper, we consider signals with non-centered Gaussian distributions with strong nonlinear distortion effects. We study the optimum performance, showing that the performances gains observed for centered Gaussian signals can be extended to other distributions. These remarkable theoretical results are confirmed by simulations, leading to a different look on nonlinear effects.1
AB - Nonlinearities are one of the most common impairments that take place in communication systems. Conventionally, nonlinear distortion is regarded as an additional noise component that degrades the performance, leading to irreducible error floors. However, it was shown that the optimum performance of zero-mean Guassian-like signals (such as the ones associated with regular orthogonal frequency division multiplexing (OFDM) modulations) submitted to severe nonlinear distortion effects can even be better than the one with linear transmitters.In this paper, we consider signals with non-centered Gaussian distributions with strong nonlinear distortion effects. We study the optimum performance, showing that the performances gains observed for centered Gaussian signals can be extended to other distributions. These remarkable theoretical results are confirmed by simulations, leading to a different look on nonlinear effects.1
UR - http://www.scopus.com/inward/record.url?scp=85127073026&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF53345.2021.9723332
DO - 10.1109/IEEECONF53345.2021.9723332
M3 - Conference contribution
AN - SCOPUS:85127073026
SN - 978-1-6654-5829-0
T3 - Asilomar Conference on Signals, Systems & Computers
SP - 959
EP - 961
BT - 55th Asilomar Conference on Signals, Systems and Computers
A2 - Matthews, Michael B.
PB - IEEE Computer Society Press
CY - Massachusetts
T2 - 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
Y2 - 31 October 2021 through 3 November 2021
ER -