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Poster Abstract: Frequency-Hopped Chirp Spread Spectrum for Collision Resolution in LoRa Network

Published: 26 April 2024 Publication History

Abstract

LoRa technology enables low power long range communication thanks to its modulation scheme, the 'Chirp Spread Spectrum (CSS)'. However, it is extremely susceptible and vulnerable to chirp collisions. To resolve this problem, we propose a novel modulation scheme, 'Frequency Hopped Chirp Spread Spectrum (FH-CSS)'. FH-CSS slices a chirp into several sub-chirps and places each to different frequency offsets. This enables demodulated signals of misaligned chirps to spread out in the frequency domain due to the characteristic of CSS. We implement FH-CSS on GNU Radio and compare its performance against standard CSS through real experiments on USRP B200 software defined radios. Preliminary results show that FH-CSS achieves around 90% decoding success rate despite collision while standard CSS has less than 10% on average.

References

[1]
Eric Blossom. 2004. GNU radio: tools for exploring the radio frequency spectrum. Linux journal 2004, 122 (2004), 4.
[2]
Muhammad Osama Shahid, Millan Philipose, Krishna Chintalapudi, Suman Banerjee, and Bhuvana Krishnaswamy. 2021. Concurrent interference cancellation: Decoding multi-packet collisions in LoRa. In Proceedings of the ACM SIGCOMM Conference. 503--515.
[3]
Joachim Tapparel, Orion Afisiadis, Paul Mayoraz, Alexios Balatsoukas-Stimming, and Andreas Burg. 2020. An open-source LoRa physical layer prototype on GNU radio. In IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). 1--5.
[4]
Xianjin Xia, Ningning Hou, Yuanqing Zheng, and Tao Gu. 2023. Pcube: scaling lora concurrent transmissions with reception diversities. ACM Transactions on Sensor Networks 18, 4 (2023), 1--25.
[5]
Xianjin Xia, Yuanqing Zheng, and Tao Gu. 2019. FTrack: Parallel decoding for LoRa transmissions. In Proceedings of the 17th Conference on Embedded Networked Sensor Systems. 192--204.
[6]
Zhenqiang Xu, Shuai Tong, Pengjin Xie, and Jiliang Wang. 2020. FlipLoRa: Resolving collisions with up-down quasi-orthogonality. In 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). 1--9.

Cited By

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  • (2024)BIC-LoRa: Bits in Chirp Shapes to Boost Throughput in LoRa2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)10.1109/IPSN61024.2024.00024(237-248)Online publication date: 13-May-2024

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cover image ACM Conferences
SenSys '23: Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems
November 2023
574 pages
ISBN:9798400704147
DOI:10.1145/3625687
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2024

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Author Tags

  1. LoRa
  2. frequency hopping
  3. packet collision resolution

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Overall Acceptance Rate 174 of 867 submissions, 20%

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View all
  • (2024)BIC-LoRa: Bits in Chirp Shapes to Boost Throughput in LoRa2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)10.1109/IPSN61024.2024.00024(237-248)Online publication date: 13-May-2024

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