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

75 citations · 133 across the 11 of their papers we have counts for

collaborators

13 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.SP2021

Phase Noise Resilient Three-Level Continuous-Phase Modulation for DFT-Spread OFDM

Markku Renfors, Ismael Peruga Nasarre, Toni Levanen +2

A novel OFDM-based waveform with low peak-to-average power ratio (PAPR) and high robustness against phase noise (PN) is presented. It follows the discrete Fourier transform spread…

eess.SP2021★ 6 cited

Joint Positioning and Tracking via NR Sidelink in 5G-Empowered Industrial IoT: Releasing the Potential of V2X Technology

Yi Lu, Mike Koivisto, Jukka Talvitie +4

The fifth generation (5G) mobile networks with enhanced connectivity and positioning capabilities play an increasingly important role in the development of automated vehicle-to-eve…

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.SP2020

5G New Radio Evolution Towards Sub-THz Communications

Oskari Tervo, Toni Levanen, Kari Pajukoski +3

In this paper, the potential of extending 5G New Radio physical layer solutions to support communications in sub-THz frequencies is studied. More specifically, we introduce the sta…

eess.SP2019

Mobile Communications Beyond 52.6 GHz: Waveforms, Numerology, and Phase Noise Challenge

Toni Levanen, Oskari Tervo, Kari Pajukoski +2

In this article, the first considerations for the 5G New Radio (NR) physical layer evolution to support beyond 52.6GHz communications are provided. In addition, the performance of…

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.NI2019

Positioning and Location-Aware Communications for Modern Railways with 5G New Radio

Jukka Talvitie, Toni Levanen, Mike Koivisto +3

Providing high-capacity radio connectivity for high-speed trains (HSTs) is one of the most important use cases of emerging 5G New Radio (NR) networks. In this article, we show that…

eess.SP2019

Frequency-Selective PAPR Reduction for OFDM

Selahattin Gökceli, Toni Levanen, Taneli Riihonen +2

We study the peak-to-average power ratio (PAPR) problem in orthogonal frequency-division multiplexing (OFDM) systems. In conventional clipping and filtering based PAPR reduction te…

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-…

eess.SP2018

Transparent Tx and Rx Waveform Processing for 5G New Radio Mobile Communications

Toni Levanen, Juho Pirskanen, Kari Pajukoski +2

Several different waveform processing techniques have been studied and proposed for the 5G new radio (NR) physical layer, to support new mixed numerology and asynchronous services.…

cs.IT2018

Positioning of High-speed Trains using 5G New Radio Synchronization Signals

Jukka Talvitie, Toni Levanen, Mike Koivisto +3

We study positioning of high-speed trains in 5G new radio (NR) networks by utilizing specific NR synchronization signals. The studies are based on simulations with 3GPP-specified r…

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…