Analytical Spectral Evaluation of GFDM Systems over Non-Linear Channels with Memory

Alexander Beremiz Hilario Tacuri, Jose Mauro P. Fortes, Raimundo Sampaio-Neto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The Generalised Frequency Division Multiplexing (GFDM)is a new multicarrier waveform that has been proposed in order to meet the requirements of the applications that are expected to work over fifth generation (5G)wireless communications systems. Due to its multicarrier nature, the performance of GFDM systems is highly sensitive to non-linear distortions. In addition, due to its wideband characteristics the memory effects of the non-linearities must also be considered. Thus, this paper presents closed-form analytical expressions that allows to evaluate the spectral efficiency (in terms of out-of-band emissions)of GFDM systems operating over a non-linear channel with memory. These analytical expressions are used to obtain numerical results for many different parameters system, allowing a quantitative evaluation of the spectral performance.

Original languageEnglish
Title of host publicationProceedings - 2018 10th IEEE Latin-American Conference on Communications, LATINCOM 2018
EditorsCarlos A. Gutierrez, Ramiro Velazquez, Andrea Rodriguez
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538667545
DOIs
StatePublished - 15 Jan 2019
Event10th IEEE Latin-American Conference on Communications, LATINCOM 2018 - Guadalajara, Mexico
Duration: 14 Nov 201816 Nov 2018

Publication series

NameProceedings - 2018 10th IEEE Latin-American Conference on Communications, LATINCOM 2018

Conference

Conference10th IEEE Latin-American Conference on Communications, LATINCOM 2018
Country/TerritoryMexico
CityGuadalajara
Period14/11/1816/11/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • 5G
  • GFDM
  • Memory
  • Non-linear
  • Out-of-band emissions
  • Spectral evaluation

Fingerprint

Dive into the research topics of 'Analytical Spectral Evaluation of GFDM Systems over Non-Linear Channels with Memory'. Together they form a unique fingerprint.

Cite this