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Link-to-System Mapping for ns-3 Wi-Fi OFDM Error Models

Authors:

Thomas R. Henderson,

Amrutha ChandramohanAuthors Info & Claims

WNS3 '17: Proceedings of the 2017 Workshop on ns-3

Pages 31 - 38

https://doi.org/10.1145/3067665.3067671

Published: 13 June 2017 Publication History

Abstract

The ns-3 simulator contains detailed models of the Wi-Fi MAC layer, including beaconing, rate control, collision avoidance, block acknowledgments, and many other features. However, it relies on abstraction at the physical layer to scale well; Wi-Fi frames are evaluated by specialized interference trackers and analytical error models to arrive at frame reception decisions on a frame-by-frame basis, rather than symbol-by-symbol. Analytical models can provide fairly tight bounds for simple scenarios (additive white Gaussian noise (AWGN) channels with single antennas and limited interference), but the industry relies on detailed link-level simulations to understand more complicated scenarios. This paper reports on an extensive campaign to conduct link simulations of Wi-Fi OFDM performance over AWGN and fading channels, using a commercial link simulator with Wi-Fi support, with results validated against published references. Next, we describe a specific implementation of a technique generally known as link-to-system-mapping, to allow a vector of per-subcarrier signal-to-noise ratios to be distilled into a single "effective SNR" value that can be used to determine performance using link simulation results of the AWGN channel. Finally, we report on the support of our link simulation results in a new ns-3 ErrorRateModel based on tables compiled from link simulation results. Our broader contributions are the link simulation programs themselves which allow others to reproduce and extend the basic tables that we provide, and flexibility in the ns-3 implementation to allow additional tables to be added over time.

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Cao LZhang LRoy S(2023)Efficient PHY Layer Abstraction for 5G NR Sidelink in ns-3Proceedings of the 2023 Workshop on ns-310.1145/3592149.3592163(115-120)Online publication date: 28-Jun-2023
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Courageux-Sudan COrgerie AQuinson M(2023)A Wi-Fi Energy Model for Scalable Simulation2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)10.1109/WoWMoM57956.2023.00038(232-241)Online publication date: Jun-2023
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Published In

cover image ACM Other conferences

WNS3 '17: Proceedings of the 2017 Workshop on ns-3

June 2017

134 pages

ISBN:9781450352192

DOI:10.1145/3067665

Conference Chairs:
Brian Swenson
Georgia Institute of Technology, USA
,
Eric Gamess
Universidad Central de Venezuela, Venezuela
,
General Chair:
Manuel Ricardo

Copyright © 2017 ACM.

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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ACM: Association for Computing Machinery
Universidade do Porto: Universidade do Porto
University of Washington: University of Washington

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 June 2017

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Funding Sources

CNS, NeTS
National Science Foundation

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WNS3 '17

WNS3 '17: Workshop on ns-3

June 13 - 14, 2017

Porto, Portugal

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Overall Acceptance Rate 54 of 82 submissions, 66%

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https://doi.org/10.3390/s23031600
Cao LZhang LRoy S(2023)Efficient PHY Layer Abstraction for 5G NR Sidelink in ns-3Proceedings of the 2023 Workshop on ns-310.1145/3592149.3592163(115-120)Online publication date: 28-Jun-2023
https://dl.acm.org/doi/10.1145/3592149.3592163
Courageux-Sudan COrgerie AQuinson M(2023)A Wi-Fi Energy Model for Scalable Simulation2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)10.1109/WoWMoM57956.2023.00038(232-241)Online publication date: Jun-2023
https://doi.org/10.1109/WoWMoM57956.2023.00038
Yin HRoy SJin S(2022)IEEE WLANs in 5 vs 6 GHz: A Comparative StudyProceedings of the 2022 Workshop on ns-310.1145/3532577.3532580(25-32)Online publication date: 22-Jun-2022
https://dl.acm.org/doi/10.1145/3532577.3532580
Cao QPun MChen Y(2022)Deep Learning in Network-Level Performance Prediction Using Cross-Layer InformationIEEE Transactions on Network Science and Engineering10.1109/TNSE.2022.31632749:4(2364-2377)Online publication date: 1-Jul-2022
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S SKuri JAkhtar N(2022)Performance Analysis of Channel-Dependent Rate Adaptation for OFDMA transmission in IEEE 802.11ax WLANs2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS)10.1109/COMSNETS53615.2022.9668513(877-882)Online publication date: 4-Jan-2022
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Jin SRoy SHenderson THenderson TAvallone SPolese MGamess E(2021)EESM-log-ARProceedings of the 2021 Workshop on ns-310.1145/3460797.3460800(17-24)Online publication date: 23-Jun-2021
https://dl.acm.org/doi/10.1145/3460797.3460800
Endovitskiy EKureev ALevitsky ITutelian SKhorov E(2021)Performance Evaluation of Downlink Non-Orthogonal Multiple Access in Wi-Fi NetworksJournal of Communications Technology and Electronics10.1134/S106422692112007X66:12(1485-1490)Online publication date: 29-Dec-2021
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Geng JKashef MCandell RLiu YMontgomery KBhattacharyya S(2021)Feature Extraction and Classification for Communication Channels in Wireless Mechatronic Systems2021 17th IEEE International Conference on Factory Communication Systems (WFCS)10.1109/WFCS46889.2021.9483590(107-110)Online publication date: 9-Jun-2021
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Astudillo Leon PTorres Manobanda FReinoso-Chisaguano DUrquiza-Aguiar L(2021)Implementation of MRC diversity reception over Nakagami-m fading channel for ns-3 simulator2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)10.1109/VTC2021-Fall52928.2021.9625579(1-6)Online publication date: Sep-2021
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