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FFT-domain signal processing for spectrally-enhanced CP-OFDM waveforms in 5G new radio

Tutkimustuotosvertaisarvioitu

Standard

FFT-domain signal processing for spectrally-enhanced CP-OFDM waveforms in 5G new radio. / Yli-Kaakinen, Juha; Levanen, Toni; Renfors, Markku; Valkama, Mikko; Pajukoski, Kari.

2018 52nd Asilomar Conference on Signals, Systems, and Computers. IEEE, 2018. s. 1049-1056.

Tutkimustuotosvertaisarvioitu

Harvard

Yli-Kaakinen, J, Levanen, T, Renfors, M, Valkama, M & Pajukoski, K 2018, FFT-domain signal processing for spectrally-enhanced CP-OFDM waveforms in 5G new radio. julkaisussa 2018 52nd Asilomar Conference on Signals, Systems, and Computers. IEEE, Sivut 1049-1056, ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, 1/01/00. https://doi.org/10.1109/ACSSC.2018.8645100

APA

Yli-Kaakinen, J., Levanen, T., Renfors, M., Valkama, M., & Pajukoski, K. (2018). FFT-domain signal processing for spectrally-enhanced CP-OFDM waveforms in 5G new radio. teoksessa 2018 52nd Asilomar Conference on Signals, Systems, and Computers (Sivut 1049-1056). IEEE. https://doi.org/10.1109/ACSSC.2018.8645100

Vancouver

Yli-Kaakinen J, Levanen T, Renfors M, Valkama M, Pajukoski K. FFT-domain signal processing for spectrally-enhanced CP-OFDM waveforms in 5G new radio. julkaisussa 2018 52nd Asilomar Conference on Signals, Systems, and Computers. IEEE. 2018. s. 1049-1056 https://doi.org/10.1109/ACSSC.2018.8645100

Author

Yli-Kaakinen, Juha ; Levanen, Toni ; Renfors, Markku ; Valkama, Mikko ; Pajukoski, Kari. / FFT-domain signal processing for spectrally-enhanced CP-OFDM waveforms in 5G new radio. 2018 52nd Asilomar Conference on Signals, Systems, and Computers. IEEE, 2018. Sivut 1049-1056

Bibtex - Lataa

@inproceedings{df9da4706bab458c91b48611f8896c05,
title = "FFT-domain signal processing for spectrally-enhanced CP-OFDM waveforms in 5G new radio",
abstract = "Fast Fourier transform (FFT)-domain signal processing has been considered recently as an effective tool for spectrum enhancement of orthogonal frequency-division multiplexing (OFDM)-based waveforms, which is a central element in the fifth generation new radio (5G-NR) developments. Fast-convolution (FC) filtering approximates linear convolution by effective FFT-based block-wise circular convolutions using partly overlapping processing blocks. In earlier work, we have shown that FC processing is a very flexible and efficient tool for filtered OFDM signal generation and receiver-side subband filtering, e.g., for the mixed numerology scenarios of the 5G-NR. However, with the continuous overlap-save and overlap-add processing models with fixed block-size and overlap, the FC-processing blocks are not synchronized to all OFDM symbols of a transmission frame. Furthermore, 5G-NR numerology does not allow to use transform lengths smaller than 128 because this would lead to non-integer cyclic prefix (CP) lengths. Here we present a modified FC processing scheme which avoids these limitations. The scheme is based on extrapolating the CP samples which, as an example, makes it possible to use 16-point transforms in case of a 12-subcarrier-wide subband allocation, greatly reducing the implementation complexity. Also the FC-processing blocks can be aligned with each OFDM symbol, reducing complexity and latency, e.g., in mini-slot transmissions.",
author = "Juha Yli-Kaakinen and Toni Levanen and Markku Renfors and Mikko Valkama and Kari Pajukoski",
year = "2018",
month = "10",
doi = "10.1109/ACSSC.2018.8645100",
language = "English",
isbn = "978-1-5386-9219-6",
publisher = "IEEE",
pages = "1049--1056",
booktitle = "2018 52nd Asilomar Conference on Signals, Systems, and Computers",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - FFT-domain signal processing for spectrally-enhanced CP-OFDM waveforms in 5G new radio

AU - Yli-Kaakinen, Juha

AU - Levanen, Toni

AU - Renfors, Markku

AU - Valkama, Mikko

AU - Pajukoski, Kari

PY - 2018/10

Y1 - 2018/10

N2 - Fast Fourier transform (FFT)-domain signal processing has been considered recently as an effective tool for spectrum enhancement of orthogonal frequency-division multiplexing (OFDM)-based waveforms, which is a central element in the fifth generation new radio (5G-NR) developments. Fast-convolution (FC) filtering approximates linear convolution by effective FFT-based block-wise circular convolutions using partly overlapping processing blocks. In earlier work, we have shown that FC processing is a very flexible and efficient tool for filtered OFDM signal generation and receiver-side subband filtering, e.g., for the mixed numerology scenarios of the 5G-NR. However, with the continuous overlap-save and overlap-add processing models with fixed block-size and overlap, the FC-processing blocks are not synchronized to all OFDM symbols of a transmission frame. Furthermore, 5G-NR numerology does not allow to use transform lengths smaller than 128 because this would lead to non-integer cyclic prefix (CP) lengths. Here we present a modified FC processing scheme which avoids these limitations. The scheme is based on extrapolating the CP samples which, as an example, makes it possible to use 16-point transforms in case of a 12-subcarrier-wide subband allocation, greatly reducing the implementation complexity. Also the FC-processing blocks can be aligned with each OFDM symbol, reducing complexity and latency, e.g., in mini-slot transmissions.

AB - Fast Fourier transform (FFT)-domain signal processing has been considered recently as an effective tool for spectrum enhancement of orthogonal frequency-division multiplexing (OFDM)-based waveforms, which is a central element in the fifth generation new radio (5G-NR) developments. Fast-convolution (FC) filtering approximates linear convolution by effective FFT-based block-wise circular convolutions using partly overlapping processing blocks. In earlier work, we have shown that FC processing is a very flexible and efficient tool for filtered OFDM signal generation and receiver-side subband filtering, e.g., for the mixed numerology scenarios of the 5G-NR. However, with the continuous overlap-save and overlap-add processing models with fixed block-size and overlap, the FC-processing blocks are not synchronized to all OFDM symbols of a transmission frame. Furthermore, 5G-NR numerology does not allow to use transform lengths smaller than 128 because this would lead to non-integer cyclic prefix (CP) lengths. Here we present a modified FC processing scheme which avoids these limitations. The scheme is based on extrapolating the CP samples which, as an example, makes it possible to use 16-point transforms in case of a 12-subcarrier-wide subband allocation, greatly reducing the implementation complexity. Also the FC-processing blocks can be aligned with each OFDM symbol, reducing complexity and latency, e.g., in mini-slot transmissions.

U2 - 10.1109/ACSSC.2018.8645100

DO - 10.1109/ACSSC.2018.8645100

M3 - Conference contribution

SN - 978-1-5386-9219-6

SP - 1049

EP - 1056

BT - 2018 52nd Asilomar Conference on Signals, Systems, and Computers

PB - IEEE

ER -