abstract

Implementation of NB-IoT Power Saving Schemes in ns-3

Authors:

Ashish Kumar Sultania,

Carmen Delgado,

Jeroen FamaeyAuthors Info & Claims

WNGW 2019: Proceedings of the 2019 Workshop on Next-Generation Wireless with ns-3

Pages 5 - 8

https://doi.org/10.1145/3337941.3337944

Published: 21 June 2019 Publication History

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Abstract

Narrowband IoT (NB-IoT) is a Low Power Wide Area Network (LPWAN) radio technology standard that uses a subset of the Long-Term Evolution (LTE) specification issued by the 3rd Generation Partnership Project (3GPP). NB-IoT focuses specifically on extended coverage, long battery life and support for a large number of connected devices. Since the ns-3 simulator is already a popular platform for LTE research purposes, it can be adapted for NB-IoT simulations. In this paper, we present the ns-3 design and implementation details of power saving schemes for NB-IoT to evaluate the device's energy consumption and latency. The important features of power saving schemes include Power Saving Mode (PSM), extended Discontinuous Reception (eDRX) and Idle mode paging. We have validated our implementation by running and analyzing various experiments. The implemented code is available as open source.

References

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Cisco. 2018. Power Saving Mode (PSM) in UEs. Retrieved May 24, 2019 from https://www.cisco.com/c/en/us/td/docs/wireless/asr_5000/21/MME/b_21_MME_Admin/b_21_MME_Admin_chapter_0111010.pdf

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B. Martínez, F. Adelantado, A. Bartoli, and X. Vilajosana. 2018. Exploring the Performance Boundaries of NB-IoT. CoRR abs/1810.00847 (2018). arXiv:1810.00847 http://arxiv.org/abs/1810.00847

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S.T.V. Pasca, B. Akilesh, A.V. Anand, and B.R. Tamma. 2016. A ns-3 Module for LTE UE Energy Consumption. In IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). IEEE, Bangalore, India, 1--6.

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A.K. Sultania, P. Zand, C. Blondia, and J. Famaey. 2018. Energy Modeling and Evaluation of NB-IoT with PSM and eDRX. In IEEE Globecom Workshops (GC Wkshps). IEEE, Abu Dhabi, UAE, 1--7.

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F. Xie. 2018. Power Consumption Optimization. Retrieved May 24, 2019 from https://cdn.rohde-schwarz.com/fr/general_37/local_webpages/2018_IoT_test_Day-Power_consumption_Optimisation.pdf

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https://doi.org/10.1109/JIOT.2023.3285244
Huang SLee SWu TChang YChao H(2023)The Efficient Cluster Head Selection for NarrowBand Internet of Things2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)10.1109/ICCE-Taiwan58799.2023.10227005(11-12)Online publication date: 17-Jul-2023
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https://doi.org/10.1109/ACCESS.2023.3264530
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Index Terms

Implementation of NB-IoT Power Saving Schemes in ns-3
1. Networks
  1. Network performance evaluation
    1. Network simulations
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Software architectures
        Simulator / interpreter

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Information & Contributors

Information

Published In

WNGW 2019: Proceedings of the 2019 Workshop on Next-Generation Wireless with ns-3

June 2019

49 pages

ISBN:9781450372787

DOI:10.1145/3337941

General Chair:
Tommaso Pecorella
University of Florence, Italy
,
Program Chairs:
Stefano Avallone
University of Naples Federico II, Italy
,
Thomas Henderson
University of Washington, USA
,
Publications Chair:
Eric Gamess
Jacksonville State University, USA

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

University of Florence: University of Florence
ACM: Association for Computing Machinery
University of Washington: University of Washington

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 June 2019

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WNGW 2019

WNGW 2019: 2019 Workshop on Next-Generation Wireless with ns-3

June 21, 2019

Florence, Italy

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WNGW 2019 Paper Acceptance Rate 10 of 12 submissions, 83%;

Overall Acceptance Rate 10 of 12 submissions, 83%

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Cited By

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Chen GDong WQiu FGuan GGao YZeng S(2023)Scalable and Interactive Simulation for IoT Applications With TinySimIEEE Internet of Things Journal10.1109/JIOT.2023.328524410:23(20984-20999)Online publication date: 1-Dec-2023
https://doi.org/10.1109/JIOT.2023.3285244
Huang SLee SWu TChang YChao H(2023)The Efficient Cluster Head Selection for NarrowBand Internet of Things2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)10.1109/ICCE-Taiwan58799.2023.10227005(11-12)Online publication date: 17-Jul-2023
https://doi.org/10.1109/ICCE-Taiwan58799.2023.10227005
Jeong SKim J(2023)Design and Implementation of an Efficient Wake-Up Synchronization Scheme Based on History in a 5G Software ModemIEEE Access10.1109/ACCESS.2023.326453011(34397-34406)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3264530
Verhoeven RKempinski SMeratnia NIgartua Mde la Cruz Llopis LBegin T(2022)Performance Evaluation of Wi-Fi HaLow, NB-IoT and LoRa for Smart City ApplicationsProceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks10.1145/3551663.3558596(17-24)Online publication date: 24-Oct-2022
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Jörke PGebauer TWietfeld C(2022)From LENA to LENA-NB: Implementation and Performance Evaluation of NB-IoT and Early Data Transmission in ns-3Proceedings of the 2022 Workshop on ns-310.1145/3532577.3532600(73-80)Online publication date: 22-Jun-2022
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Zhong HZhang RJin FNing L(2022)Optimization of NB-IoT Uplink Resource Allocation via Double Deep Q-LearningCommunications, Signal Processing, and Systems10.1007/978-981-19-0390-8_96(775-781)Online publication date: 30-Mar-2022
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