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XCopy: Boosting Weak Links for Reliable LoRa Communication

Authors:

Yuanqing Zheng,

Mo LiAuthors Info & Claims

ACM MobiCom '23: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking

Article No.: 14, Pages 1 - 15

https://doi.org/10.1145/3570361.3592516

Published: 10 July 2023 Publication History

Abstract

LoRaWAN suffers dramatic performance degradation over a long communication range due to signal attenuation and blockages. To ensure reliable data transfer, LoRaWAN adopts retransmission mechanism where an unacknowledged packet is retransmitted multiple times in the hope of successfully delivering the packet at least once over harsh wireless channels. This retransmission mechanism is ill-suited for LoRa: 1) unsuccessful retransmissions lead to high power consumption for battery-powered LoRa nodes, and 2) a retransmission at another time does not necessarily improve the signal strength over harsh wireless channels.

This paper presents the design and implementation of XCopy, which effectively improves the signal strength by coherently combining retransmitted packets received over weak links that would otherwise be thrown away. XCopy develops and puts together novel algorithms to 1) accurately identify the signal copies of the same packet over multiple retransmissions in the presence of interfering packets, and 2) precisely align the signal copies (in time, frequency, and phase) to ensure constructive combining, which turns out to be very challenging in ultra-low SNRs, but made possible by XCopy. Evaluations show that XCopy can deliver significant SNR gains and yield higher packet reception ratio and longer lifetime of LoRa nodes.

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Cited By

Hosseinzadeh SAshawa MOwoh NLarijani HCurtis K(2024)Explainable Machine Learning for LoRaWAN Link Budget Analysis and ModelingSensors10.3390/s2403086024:3(860)Online publication date: 29-Jan-2024
https://doi.org/10.3390/s24030860
Wang HZhao BLiu XPan RPang SSong J(2024)An Adaptive Data Rate Algorithm for Power-Constrained End Devices in Long Range NetworksMathematics10.3390/math1221337112:21(3371)Online publication date: 28-Oct-2024
https://doi.org/10.3390/math12213371
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Index Terms

XCopy: Boosting Weak Links for Reliable LoRa Communication
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Embedded systems
2. Networks
  1. Network properties
    1. Network reliability

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cover image ACM Conferences

ACM MobiCom '23: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking

October 2023

1605 pages

ISBN:9781450399906

DOI:10.1145/3570361

Chairs:
Xavier Costa,
Joerg Widmer,
Co-chairs:
Diego Perino,
Domenico Giustiniano,
Program Chair:
Haitham Al Hassanieh,
Program Co-chairs:
Arash Asadi,
Landon Cox

Copyright © 2023 ACM.

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Published: 10 July 2023

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Hong Kong GRF
HK GRF
Start-up Fund for RAP under the Strategic Hiring Scheme of Hong Kong PolyU
National Nature Science Foundation of China
Ministry of Education Singapore MOE AcRF Tier 2

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ACM MobiCom '23

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SIGMOBILE

ACM MobiCom '23: 29th Annual International Conference on Mobile Computing and Networking

October 2 - 6, 2023

Madrid, Spain

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Overall Acceptance Rate 440 of 2,972 submissions, 15%

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Cited By

Hosseinzadeh SAshawa MOwoh NLarijani HCurtis K(2024)Explainable Machine Learning for LoRaWAN Link Budget Analysis and ModelingSensors10.3390/s2403086024:3(860)Online publication date: 29-Jan-2024
https://doi.org/10.3390/s24030860
Wang HZhao BLiu XPan RPang SSong J(2024)An Adaptive Data Rate Algorithm for Power-Constrained End Devices in Long Range NetworksMathematics10.3390/math1221337112:21(3371)Online publication date: 28-Oct-2024
https://doi.org/10.3390/math12213371
Yang KChen YDu WOkoshi TKo JLiKamWa R(2024)OrchLoc: In-Orchard Localization via a Single LoRa Gateway and Generative Diffusion Model-based FingerprintingProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661876(304-317)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3643832.3661876
Li CRen YTong SSiam SZhang MWang JLiu YCao ZOkoshi TKo JLiKamWa R(2024)ChirpTransformer: Versatile LoRa Encoding for Low-power Wide-area IoTProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661861(479-491)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3643832.3661861
Chen YYang KAn ZHolder BPaloutzian LBali KDu WBaeza-Yates RBonchi F(2024)MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer RechargeProceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3637528.3671533(4862-4872)Online publication date: 25-Aug-2024
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Du JLiu YRen YLiu LCao ZGanesan DLane NShi W(2024)LoRaTrimmer: Optimal Energy Condensation with Chirp Trimming for LoRa Weak Signal DecodingProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3690681(1104-1118)Online publication date: 4-Dec-2024
https://dl.acm.org/doi/10.1145/3636534.3690681
Yang KLiu MDu W(2024)RALoRa: Rateless-Enabled Link Adaptation for LoRa NetworkingIEEE/ACM Transactions on Networking10.1109/TNET.2024.339234232:4(3392-3407)Online publication date: Aug-2024
https://doi.org/10.1109/TNET.2024.3392342
Haque MSaifullah A(2024)Handling Jamming Attacks in a LoRa Network2024 IEEE/ACM Ninth International Conference on Internet-of-Things Design and Implementation (IoTDI)10.1109/IoTDI61053.2024.00017(146-157)Online publication date: 13-May-2024
https://doi.org/10.1109/IoTDI61053.2024.00017
Chen WZhang JXia XWang SWang SHe T(2024)Hitting the Sweet Spot: An SF-any Coding Paradigm for Empowering City-Wide LoRa Communications2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)10.1109/IPSN61024.2024.00023(225-236)Online publication date: 13-May-2024
https://doi.org/10.1109/IPSN61024.2024.00023
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