Using the fireworks algorithm for ML detection of nonlinear OFDM

João Guerreiro; Marko Beko; Rui Dinis; Paulo Montezuma

doi:10.1109/VTCFall.2017.8287944

Using the fireworks algorithm for ML detection of nonlinear OFDM

João Guerreiro, Marko Beko, Rui Dinis, Paulo Montezuma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 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 language	English
Title of host publication	2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
Volume	2017-September
ISBN (Electronic)	9781509059355
DOIs	https://doi.org/10.1109/VTCFall.2017.8287944
Publication status	Published - 8 Feb 2018
Event	86th IEEE Vehicular Technology Conference, VTC Fall 2017 - Toronto, Canada Duration: 24 Sep 2017 → 27 Sep 2017

Conference

Conference	86th IEEE Vehicular Technology Conference, VTC Fall 2017
Country/Territory	Canada
City	Toronto
Period	24/09/17 → 27/09/17

Keywords

Detection
Non-convex optimization
Nonlinear distortion effects
OFDM

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10.1109/VTCFall.2017.8287944

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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",

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Guerreiro, J, Beko, M , Dinis, R & Montezuma, P 2018, Using the fireworks algorithm for ML detection of nonlinear OFDM. in 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. vol. 2017-September, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 86th IEEE Vehicular Technology Conference, VTC Fall 2017, Toronto, Canada, 24/09/17. https://doi.org/10.1109/VTCFall.2017.8287944

Using the fireworks algorithm for ML detection of nonlinear OFDM. / Guerreiro, João; Beko, Marko ; Dinis, Rui et al.

2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. Vol. 2017-September Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-5.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Using the fireworks algorithm for ML detection of nonlinear OFDM

AU - Guerreiro, João

AU - Beko, Marko

AU - Dinis, Rui

AU - Montezuma, Paulo

N1 - info:eu-repo/grantAgreement/FCT/5876/147328/PT# sem pdf conforme despacho.

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N2 - 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

AB - 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

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BT - 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings

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Using the fireworks algorithm for ML detection of nonlinear OFDM

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