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Reduced-complexity digital predistortion for massive MIMO

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Reduced-complexity digital predistortion for massive MIMO. / Abdelaziz, Mahmoud; Anttila, Lauri; Valkama, Mikko.

2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. IEEE, 2017. p. 6478-6482.

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

Harvard

Abdelaziz, M, Anttila, L & Valkama, M 2017, Reduced-complexity digital predistortion for massive MIMO. in 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. IEEE, pp. 6478-6482, IEEE International Conference on Acoustics, Speech and Signal Processing, 1/01/00. https://doi.org/10.1109/ICASSP.2017.7953404

APA

Abdelaziz, M., Anttila, L., & Valkama, M. (2017). Reduced-complexity digital predistortion for massive MIMO. In 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings (pp. 6478-6482). IEEE. https://doi.org/10.1109/ICASSP.2017.7953404

Vancouver

Abdelaziz M, Anttila L, Valkama M. Reduced-complexity digital predistortion for massive MIMO. In 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. IEEE. 2017. p. 6478-6482 https://doi.org/10.1109/ICASSP.2017.7953404

Author

Abdelaziz, Mahmoud ; Anttila, Lauri ; Valkama, Mikko. / Reduced-complexity digital predistortion for massive MIMO. 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. IEEE, 2017. pp. 6478-6482

Bibtex - Download

@inproceedings{81d0b6e441c34bd29935a76049042dac,
title = "Reduced-complexity digital predistortion for massive MIMO",
abstract = "A novel reduced-complexity digital predistortion (DPD) solution is presented in this paper. The proposed DPD can suppress the unwanted distortions due to power amplifier (PA) nonlinearity and I/Q modulator impairments in direct conversion transmitters using reduced-bandwidth filtered basis functions. Moreover, the DPD parameter estimation is based on very simple decorrelation based closed-loop processing and reduced-bandwidth observation, thus further reducing the overall complexity. The proposed DPD can be used in large array or massive MIMO systems with large number of radio transceivers and PAs, where reducing the complexity of the DPD processing is very critical.",
keywords = "5G, Digital Predistortion, Direct Conversion Transmitters, I/Q imbalance, Massive MIMO, Power Amplifiers",
author = "Mahmoud Abdelaziz and Lauri Anttila and Mikko Valkama",
year = "2017",
month = "6",
day = "16",
doi = "10.1109/ICASSP.2017.7953404",
language = "English",
publisher = "IEEE",
pages = "6478--6482",
booktitle = "2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Reduced-complexity digital predistortion for massive MIMO

AU - Abdelaziz, Mahmoud

AU - Anttila, Lauri

AU - Valkama, Mikko

PY - 2017/6/16

Y1 - 2017/6/16

N2 - A novel reduced-complexity digital predistortion (DPD) solution is presented in this paper. The proposed DPD can suppress the unwanted distortions due to power amplifier (PA) nonlinearity and I/Q modulator impairments in direct conversion transmitters using reduced-bandwidth filtered basis functions. Moreover, the DPD parameter estimation is based on very simple decorrelation based closed-loop processing and reduced-bandwidth observation, thus further reducing the overall complexity. The proposed DPD can be used in large array or massive MIMO systems with large number of radio transceivers and PAs, where reducing the complexity of the DPD processing is very critical.

AB - A novel reduced-complexity digital predistortion (DPD) solution is presented in this paper. The proposed DPD can suppress the unwanted distortions due to power amplifier (PA) nonlinearity and I/Q modulator impairments in direct conversion transmitters using reduced-bandwidth filtered basis functions. Moreover, the DPD parameter estimation is based on very simple decorrelation based closed-loop processing and reduced-bandwidth observation, thus further reducing the overall complexity. The proposed DPD can be used in large array or massive MIMO systems with large number of radio transceivers and PAs, where reducing the complexity of the DPD processing is very critical.

KW - 5G

KW - Digital Predistortion

KW - Direct Conversion Transmitters

KW - I/Q imbalance

KW - Massive MIMO

KW - Power Amplifiers

U2 - 10.1109/ICASSP.2017.7953404

DO - 10.1109/ICASSP.2017.7953404

M3 - Conference contribution

SP - 6478

EP - 6482

BT - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings

PB - IEEE

ER -