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20172022
most citedEfficient Fast-Convolution-Based Waveform Processing for 5G Physical Layer

75 citations · 127 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2022

Flexible fast-convolution processing for cellular radio evolution

Juha Yli-Kaakinen, Toni Levanen, Arto Palin +2

Orthogonal frequency-division multiplexing (OFDM) has been selected as a baseline waveform for long-term evolution (LTE) and fifth-generation new radio (5G NR). Fast-convolution (F…

eess.SP2020

Frequency-Domain Signal Processing for Spectrally-Enhanced CP-OFDM Waveforms in 5G New Radio

Juha Yli-Kaakinen, AlaaEddin Loulou, Toni Levanen +4

Orthogonal frequency-division multiplexing (OFDM) has been selected as the basis for the fifth-generation new radio (5G-NR) waveform developments. However, effective signal process…

eess.SP2019★ 21 cited

PAPR Reduction with Mixed-Numerology OFDM

Selahattin Gökceli, Toni Levanen, Juha Yli-Kaakinen +3

High peak-to-average power ratio (PAPR) is a critical problem in orthogonal frequency-division multiplexing (OFDM). The fifth-generation New Radio (5G NR) facilitates the utilizati…

cs.IT2019★ 31 cited

Generalized Fast-Convolution-based Filtered-OFDM: Techniques and Application to 5G New Radio

Juha Yli-Kaakinen, Toni Levanen, Arto Palin +2

This paper proposes a generalized model and methods for fast-convolution (FC)-based waveform generation and processing with specific applications to fifth generation new radio (5G-…

cs.IT2017★ 75 cited

Efficient Fast-Convolution-Based Waveform Processing for 5G Physical Layer

Juha Yli-Kaakinen, Toni Levanen, Sami Valkonen +4

This paper investigates the application of fast-convolution (FC) filtering schemes for flexible and effective waveform generation and processing in the fifth generation (5G) system…