research-article

Implementation and evaluation of frequency division multiplexing of numerologies for 5G new radio in ns-3

Authors:

Biljana Bojovic,

Sandra Lagen,

Lorenza GiupponiAuthors Info & Claims

WNS3 '18: Proceedings of the 2018 Workshop on ns-3

Pages 37 - 44

https://doi.org/10.1145/3199902.3199905

Published: 13 June 2018 Publication History

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Abstract

The New Radio (NR) access technology that is currently being developed by the 3GPP for fifth generation (5G) systems is expected to be extremely flexible to allow operation in a wide range of bands and address a variety of use cases. One of the key steps towards this objective is the inclusion of a set of numerologies, which are specified by subcarrier spacing and cyclic prefix. Different numerologies can be exploited to meet different quality-of-service (QoS) requirements in terms of latency and throughput. To achieve this, 3GPP specifies that the NR system shall support multiplexing of numerologies in time and/or frequency domain. In this work, we focus on frequency division multiplexing (FDM) of numerologies. To allow simulation of FDM of numerologies in the ns-3 network simulator, we have extended the mmWave module with some of the key features defined for NR systems. These extensions include support for NR frame structure, numerologies, and on top of that the FDM of numerologies. To implement the FDM of numerologies, we leveraged the carrier aggregation (CA) feature of ns-3 LTE module, and for that purpose, we have extended the mmWave module to support the CA functionality. In this paper, we describe these extensions and we carry out a performance evaluation of numerologies and FDM of numerologies.

References

[1]

3GPP TSG RAN. 2017. Study on New Radio (NR) Access Technology (Release 14). 3GPP TR 38.912 V14.0.0. (March 2017).

Google Scholar

[2]

3GPP TSG RAN NR. 2017. Physical Channels and Modulation (Release 15). 3GPP TR 38.211 V1.2.0. (Nov. 2017).

Google Scholar

[3]

3GPP TSG SSA. 2017. System Architecture for the 5G System; Stage 2 (Release 15). 3GPP TS 23.501 V15.0.0. (Dec. 2017).

Google Scholar

[4]

A. A. Zaidi et al. 2016. Waveform and Numerology to Support 5G Services and Requirements. In IEEE Commun. Magazine, vol. 54, pp. 90--98.

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Google Scholar

[5]

B. Bojovic, D. Abrignani Melchiorre, M. Miozzo, L. Giupponi, and N. Baldo. 2017. Towards LTE-Advanced and LTE-A Pro Network Simulations: Implementing Carrier Aggregation in LTE Module of ns-3. In Proceedings of the Workshop on ns-3 (WNS3 '17). ACM, New York, NY, USA, 63--70.

Digital Library

Google Scholar

[6]

Ericsson 3GPP R1--1611515. 2016. Puncturing sTTI in Legacy TTI. 3GPP TSG RAN WG1 87 Meeting. (Nov. 2016).

Google Scholar

[7]

M. Mezzavilla, M. Zhang, M. Polese, R. Ford, S. Dutta, S. Rangan, and M. Zorzi. 2017. End-to-End Simulation of 5G mmWave Networks. (2017). arXiv:1705.02882 http://arxiv.org/abs/1705.02882

Google Scholar

[8]

mmWave. 2018. module. https://github.com/nyuwireless-unipd/ns3-mmwave. (2018).

Google Scholar

[9]

ns-3. 2018. Network Simulator. http://code.nsnam.org/ns-3-dev. (2018).

Google Scholar

[10]

Qualcomm Technologies Inc. 2015. The 5G unified Air Interface. (Nov. 2015).

Google Scholar

[11]

Vivo 3GPP R1--1707238. 2017. Discussion on NR resource allocation. 3GPP TSG RAN WG1 88bis Meeting. (May 2017).

Google Scholar

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Merzougui SLimani XGavrielides APalazzi CMarquez-Barja J(2024)Leveraging 5G Technology to Investigate Energy Consumption and CPU Load at the Edge in Vehicular NetworksWorld Electric Vehicle Journal10.3390/wevj1504017115:4(171)Online publication date: 19-Apr-2024
https://doi.org/10.3390/wevj15040171
Raghavi TVardhan Reddy BSowjanya P(2024)Enabling Seamless Mobility in 5G NR Networks Using NS-3 and 4G Core Integration2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT)10.1109/DICCT61038.2024.10533154(136-141)Online publication date: 15-Mar-2024
https://doi.org/10.1109/DICCT61038.2024.10533154
Saha TChauhan PPradhan KDeka S(2024)Priority-based subcarrier allocation algorithm for maximal network connectivity in 5G networksPhysical Communication10.1016/j.phycom.2024.10244366(102443)Online publication date: Oct-2024
https://doi.org/10.1016/j.phycom.2024.102443
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Index Terms

Implementation and evaluation of frequency division multiplexing of numerologies for 5G new radio in ns-3
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation types and techniques
      1. Discrete-event simulation
2. Networks
  1. Network performance evaluation
    1. Network simulations

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Published In

WNS3 '18: Proceedings of the 2018 Workshop on ns-3

June 2018

91 pages

ISBN:9781450364133

DOI:10.1145/3199902

Conference Chairs:
Eric Gamess
Jacksonville State University, USA
,
Damien Saucez
Inria, France
,
General Chair:
Mohit Tahiliani
National Institute of Technology Karnataka, India

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 13 June 2018

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WNS3 2018

WNS3 2018: 2018 Workshop on ns-3

June 13 - 14, 2018

Surathkal, India

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WNS3 '18 Paper Acceptance Rate 11 of 16 submissions, 69%;

Overall Acceptance Rate 54 of 82 submissions, 66%

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Merzougui SLimani XGavrielides APalazzi CMarquez-Barja J(2024)Leveraging 5G Technology to Investigate Energy Consumption and CPU Load at the Edge in Vehicular NetworksWorld Electric Vehicle Journal10.3390/wevj1504017115:4(171)Online publication date: 19-Apr-2024
https://doi.org/10.3390/wevj15040171
Raghavi TVardhan Reddy BSowjanya P(2024)Enabling Seamless Mobility in 5G NR Networks Using NS-3 and 4G Core Integration2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT)10.1109/DICCT61038.2024.10533154(136-141)Online publication date: 15-Mar-2024
https://doi.org/10.1109/DICCT61038.2024.10533154
Saha TChauhan PPradhan KDeka S(2024)Priority-based subcarrier allocation algorithm for maximal network connectivity in 5G networksPhysical Communication10.1016/j.phycom.2024.10244366(102443)Online publication date: Oct-2024
https://doi.org/10.1016/j.phycom.2024.102443
Agrawal TKakati PDas S(2023)Nodal Transmission in 5G Wireless Networking2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC)10.1109/PEEIC59336.2023.10451270(898-902)Online publication date: 19-Dec-2023
https://doi.org/10.1109/PEEIC59336.2023.10451270
Gomez JKfoury ECrichigno JSrivastava G(2023)A survey on network simulators, emulators, and testbeds used for research and educationComputer Networks10.1016/j.comnet.2023.110054237(110054)Online publication date: Dec-2023
https://doi.org/10.1016/j.comnet.2023.110054
Baranov DTerekhin ABragin DKonev A(2021)Implementation and Evaluation of Nodal Distribution and Movement in a 5G Mobile NetworkFuture Internet10.3390/fi1312032113:12(321)Online publication date: 20-Dec-2021
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Mahdi MAhmad AQassim QNatiq HSubhi MMahmoud M(2021)From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A SurveyApplied Sciences10.3390/app1117811711:17(8117)Online publication date: 31-Aug-2021
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Lagen SGiupponi LGoyal SPatriciello NBojović BDemir ABeluri M(2020)New Radio Beam-Based Access to Unlicensed Spectrum: Design Challenges and SolutionsIEEE Communications Surveys & Tutorials10.1109/COMST.2019.294914522:1(8-37)Online publication date: 9-Mar-2020
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Patriciello NLagen SGiupponi LBojovic BPecorella TCoudron MSaucez DGamess E(2019)An Improved MAC Layer for the 5G NR ns-3 ModuleProceedings of the 2019 Workshop on ns-310.1145/3321349.3321350(41-48)Online publication date: 19-Jun-2019
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Lagen SBojovic BGoyal SGiupponi LMangues-Bafalluy J(2018)Subband Configuration Optimization for Multiplexing of Numerologies in 5G TDD New Radio2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)10.1109/PIMRC.2018.8580813(1-7)Online publication date: Sep-2018
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Antipodal pilot tones in orthogonal frequency division multiplexing systems for carrier frequency offset estimation

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Antipodal pilot tones in orthogonal frequency division multiplexing systems for carrier frequency offset estimation

Orthogonal frequency division multiplexing: a multi-carrier modulation scheme

Non‐orthogonal frequency division multiplexing based on sparse representation

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