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PAPR reduction and digital predistortion for non-contiguous waveforms with well-localized spectrum

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PAPR reduction and digital predistortion for non-contiguous waveforms with well-localized spectrum. / Abdelaziz, Mahmoud; Anttila, Lauri; Renfors, Markku; Valkama, Mikko.

ISWCS 2016 - 13th International Symposium on Wireless Communication Systems, Proceedings. IEEE, 2016. p. 581-585.

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

Harvard

Abdelaziz, M, Anttila, L, Renfors, M & Valkama, M 2016, PAPR reduction and digital predistortion for non-contiguous waveforms with well-localized spectrum. in ISWCS 2016 - 13th International Symposium on Wireless Communication Systems, Proceedings. IEEE, pp. 581-585, International Symposium on Wireless Communication Systems, 1/01/00. https://doi.org/10.1109/ISWCS.2016.7600971

APA

Abdelaziz, M., Anttila, L., Renfors, M., & Valkama, M. (2016). PAPR reduction and digital predistortion for non-contiguous waveforms with well-localized spectrum. In ISWCS 2016 - 13th International Symposium on Wireless Communication Systems, Proceedings (pp. 581-585). IEEE. https://doi.org/10.1109/ISWCS.2016.7600971

Vancouver

Abdelaziz M, Anttila L, Renfors M, Valkama M. PAPR reduction and digital predistortion for non-contiguous waveforms with well-localized spectrum. In ISWCS 2016 - 13th International Symposium on Wireless Communication Systems, Proceedings. IEEE. 2016. p. 581-585 https://doi.org/10.1109/ISWCS.2016.7600971

Author

Abdelaziz, Mahmoud ; Anttila, Lauri ; Renfors, Markku ; Valkama, Mikko. / PAPR reduction and digital predistortion for non-contiguous waveforms with well-localized spectrum. ISWCS 2016 - 13th International Symposium on Wireless Communication Systems, Proceedings. IEEE, 2016. pp. 581-585

Bibtex - Download

@inproceedings{2dcf1b7adc354927ab46abece0841c49,
title = "PAPR reduction and digital predistortion for non-contiguous waveforms with well-localized spectrum",
abstract = "One important direction in advanced communication waveform studies for future wireless communications is improved spectrum localization, i.e., minimization of the power leakage outside very narrow guardbands around the useful signal band. This helps to improve the spectrum efficiency and facilitates asynchronous frequency-division multiple access with small overhead. These are central targets, e.g., in the 5G mobile system development. Various multicarrier and single-carrier waveforms with effective spectrum localization are available, including filter bank based waveforms and filtered OFDM, but their spectral characteristics have so far been investigated mostly in the digital processing domain. For practical implementation, it is necessary to study the effects of transmitter power amplifier (PA) nonlinearities on the spectrum localization of these waveforms. In this context, power amplifier linearization and peak-to-average power ratio (PAPR) reduction methods have a crucial role in the design of energy efficient and cost-effective transmitters. This paper focuses on these issues, by combining a generic low-complexity PAPR reduction method based on peak windowing with linearized PA based on digital predistortion (DPD). It is demonstrated that the combined DPD and PAPR reduction allows the transmitter to significantly improve the spectrum localization without sacrificing the inband waveform quality, while operating very close to the PA saturation level, thus achieving high power efficiency as well. The results are generally applicable to all spectrally localized waveforms.",
author = "Mahmoud Abdelaziz and Lauri Anttila and Markku Renfors and Mikko Valkama",
year = "2016",
month = "10",
day = "19",
doi = "10.1109/ISWCS.2016.7600971",
language = "English",
pages = "581--585",
booktitle = "ISWCS 2016 - 13th International Symposium on Wireless Communication Systems, Proceedings",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - PAPR reduction and digital predistortion for non-contiguous waveforms with well-localized spectrum

AU - Abdelaziz, Mahmoud

AU - Anttila, Lauri

AU - Renfors, Markku

AU - Valkama, Mikko

PY - 2016/10/19

Y1 - 2016/10/19

N2 - One important direction in advanced communication waveform studies for future wireless communications is improved spectrum localization, i.e., minimization of the power leakage outside very narrow guardbands around the useful signal band. This helps to improve the spectrum efficiency and facilitates asynchronous frequency-division multiple access with small overhead. These are central targets, e.g., in the 5G mobile system development. Various multicarrier and single-carrier waveforms with effective spectrum localization are available, including filter bank based waveforms and filtered OFDM, but their spectral characteristics have so far been investigated mostly in the digital processing domain. For practical implementation, it is necessary to study the effects of transmitter power amplifier (PA) nonlinearities on the spectrum localization of these waveforms. In this context, power amplifier linearization and peak-to-average power ratio (PAPR) reduction methods have a crucial role in the design of energy efficient and cost-effective transmitters. This paper focuses on these issues, by combining a generic low-complexity PAPR reduction method based on peak windowing with linearized PA based on digital predistortion (DPD). It is demonstrated that the combined DPD and PAPR reduction allows the transmitter to significantly improve the spectrum localization without sacrificing the inband waveform quality, while operating very close to the PA saturation level, thus achieving high power efficiency as well. The results are generally applicable to all spectrally localized waveforms.

AB - One important direction in advanced communication waveform studies for future wireless communications is improved spectrum localization, i.e., minimization of the power leakage outside very narrow guardbands around the useful signal band. This helps to improve the spectrum efficiency and facilitates asynchronous frequency-division multiple access with small overhead. These are central targets, e.g., in the 5G mobile system development. Various multicarrier and single-carrier waveforms with effective spectrum localization are available, including filter bank based waveforms and filtered OFDM, but their spectral characteristics have so far been investigated mostly in the digital processing domain. For practical implementation, it is necessary to study the effects of transmitter power amplifier (PA) nonlinearities on the spectrum localization of these waveforms. In this context, power amplifier linearization and peak-to-average power ratio (PAPR) reduction methods have a crucial role in the design of energy efficient and cost-effective transmitters. This paper focuses on these issues, by combining a generic low-complexity PAPR reduction method based on peak windowing with linearized PA based on digital predistortion (DPD). It is demonstrated that the combined DPD and PAPR reduction allows the transmitter to significantly improve the spectrum localization without sacrificing the inband waveform quality, while operating very close to the PA saturation level, thus achieving high power efficiency as well. The results are generally applicable to all spectrally localized waveforms.

U2 - 10.1109/ISWCS.2016.7600971

DO - 10.1109/ISWCS.2016.7600971

M3 - Conference contribution

SP - 581

EP - 585

BT - ISWCS 2016 - 13th International Symposium on Wireless Communication Systems, Proceedings

PB - IEEE

ER -