activity
20172026
most citedEfficient Fast-Convolution-Based Waveform Processing for 5G Physical Layer

75 citations · 76 across the 4 of their papers we have counts for

collaborators

5 papers

cs.NI2026

Topology Construction Algorithms for DECT NR+ in Normal and Ultra-Dense Deployments

Andrey Samuylov, Dmitri Moltchanov, Roman Glazkov +3

The 5G-grade DECT NR+ technology designed to support massive machine-type communications (mMTC) relies on the decentralized mesh connectivity concept. The currently utilized topolo…

cs.NI2024

DECT-2020 NR Link Distance Performance in Varying Environments: Models and Measurements

Md Mohaiminul Haque, Joonas Sae, Juho Pirskanen +1

Digital Enhanced Cordless Telecommunications 2020 New Radio (DECT-2020 NR) has garnered recognition as an alternative for cellular 5G technology in the internet of things industry.…

cs.NI2021★ 1 cited

DECT-2020 New Radio: The Next Step Towards 5G Massive Machine-Type Communications

Roman Kovalchukov, Dmitri Moltchanov, Juho Pirskanen +4

Massive machine type communications (mMTC) is one of the cornerstone services that have to be supported by 5G systems. 3GPP has already introduced LTE-M and NB-IoT, often referred…

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.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…