Using the fireworks algorithm for ML detection of nonlinear OFDM

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Orthogonal frequency division multiplexing (OFDM) schemes have high envelope fluctuations and peak-to-average power ratio (PAPR), making them very prone to nonlinear distortion effects, which can affect significantly the performance when conventional receivers are employed. However, it was recently shown that strong nonlinear distortion effects on OFDM signals do not necessarily lead to performance degradation. In fact, nonlinear OFDM schemes can outperform linear ones when optimum maximum likelihood (ML) receivers are employed. In this paper, we considered OFDM schemes with strong nonlinear distortion effects and we proposed a low-complexity detection scheme able to approach the optimum ML performance. Our technique is based on the fireworks algorithm (FWA) and allows excellent trade-offs between performance and complexity. 1

Original languageEnglish
Title of host publication2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
Volume2017-September
ISBN (Electronic)9781509059355
DOIs
Publication statusPublished - 8 Feb 2018
Event86th IEEE Vehicular Technology Conference, VTC Fall 2017 - Toronto, Canada
Duration: 24 Sep 201727 Sep 2017

Conference

Conference86th IEEE Vehicular Technology Conference, VTC Fall 2017
CountryCanada
CityToronto
Period24/09/1727/09/17

Keywords

  • Detection
  • Non-convex optimization
  • Nonlinear distortion effects
  • OFDM

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