research-article

Flexible Numerology in 5G NR: : Interference Quantification and Proper Selection Depending on the Scenario

Authors:

Josue Flores de Valgas,

Jose F. Monserrat,

Hüseyin Arslan Academic Editor:

Massimo CondoluciAuthors Info & Claims

Mobile Information Systems, Volume 2021

https://doi.org/10.1155/2021/6651326

Published: 01 January 2021 Publication History

Abstract

The 3rd Generation Partnership Project (3GPP) adopted cyclic prefix OFDM (CP-OFDM) for both uplink and downlink communications (although DFT-s-OFDM is also allowed in the uplink) in 5G New Radio (NR) Release 15. However, due to the variety of proposed deployment options and scenarios, a single numerology will not be enough to fulfil all performance requirements. A scalable OFDM numerology was required to enable diverse services on a wide range of frequencies and deployments, and finding the right numerology for each scenario is of special relevance for the proper functioning of 5G NR. Using a simulator calibrated according to the parameters established for NR performance by the 3GPP, this paper presents the performance evaluation of NR for the main 5G scenarios and different CP-OFDM numerologies and device speeds. Results show that increasing subcarrier spacing boosts the strength of the system against intercarrier interference (ICI) caused my Doppler spread; however, to increase subcarrier spacing, the CP must be reduced proportionally, which makes intersymbol interference (ISI) and ICI caused by insufficient CP have a more predominant effect. Therefore, it is necessary to quantify the total interference of the system, in order to determine the proper numerology for each scenario, which will depend on all the factors mentioned above, and not only on the operation band, as suggested in the standardization process. All this allows concluding that the choice of the appropriate numerology for a particular system depends not only on the band of operation but also on the deployment scenario and the speed of the user equipment (UE). Likewise, it is concluded that it is even possible to use more than one numerology for the same scenario.

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Cited By

Malekzadeh M(2023)Performance prediction and enhancement of 5G networks based on linear regression machine learningEURASIP Journal on Wireless Communications and Networking10.1186/s13638-023-02282-z2023:1Online publication date: 10-Aug-2023
https://dl.acm.org/doi/10.1186/s13638-023-02282-z

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Flexible Numerology in 5G NR: Interference Quantification and Proper Selection Depending on the Scenario

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Published In

cover image Mobile Information Systems

Mobile Information Systems Volume 2021, Issue

2021

6406 pages

ISSN:1574-017X

EISSN:1875-905X

Issue’s Table of Contents

Copyright © 2021 Josue Flores de Valgas et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IOS Press

Netherlands

Publication History

Published: 01 January 2021

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Cited By

Malekzadeh M(2023)Performance prediction and enhancement of 5G networks based on linear regression machine learningEURASIP Journal on Wireless Communications and Networking10.1186/s13638-023-02282-z2023:1Online publication date: 10-Aug-2023
https://dl.acm.org/doi/10.1186/s13638-023-02282-z

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