Understanding Long Range-Frequency Hopping Spread Spectrum (LR-FHSS) with Real-World Packet Traces

Long Range-Frequency Hopping Spread Spectrum (LR-FHSS) is a new physical layer option that has been recently added to the LoRa family with the promise of achieving much higher network capacity than the previous versions of LoRa. In this article, we present our evaluation of LR-FHSS based on real-world packet traces collected with an LR-FHSS device and a receiver we designed and implemented in software. We overcame challenges due to the lack of documentation of LR-FHSS, and our study is the first of its kind that processes signals transmitted by an actual LR-FHSS device with practical issues such as frequency error. Our results show that LR-FHSS meets its expectations in communication range and network capacity. We also propose customized methods for LR-FHSS that improve its performance significantly, allowing our receiver to achieve higher network capacity than those reported earlier.

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Institutions

Publication Details

Journal
ACM Transactions on Sensor Networks
Published
2024-09-05
DOI
https://doi.org/10.1145/3694971
Citations
14
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
2.92
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article

Understanding Long Range-Frequency Hopping Spread Spectrum (LR-FHSS) with Real-World Packet Traces

Jumana Bukhari, Zhenghao Zhang
14 citations
ACM Transactions on Sensor Networks
IoT Networks and Protocols
2.92
article

Understanding Long Range-Frequency Hopping Spread Spectrum (LR-FHSS) with Real-World Packet Traces

Jumana Bukhari, Zhenghao Zhang
article en
14 citations

Abstract

Long Range-Frequency Hopping Spread Spectrum (LR-FHSS) is a new physical layer option that has been recently added to the LoRa family with the promise of achieving much higher network capacity than the previous versions of LoRa. In this article, we present our evaluation of LR-FHSS based on real-world packet traces collected with an LR-FHSS device and a receiver we designed and implemented in software. We overcame challenges due to the lack of documentation of LR-FHSS, and our study is the first of its kind that processes signals transmitted by an actual LR-FHSS device with practical issues such as frequency error. Our results show that LR-FHSS meets its expectations in communication range and network capacity. We also propose customized methods for LR-FHSS that improve its performance significantly, allowing our receiver to achieve higher network capacity than those reported earlier.

ACM Transactions on Sensor NetworksVol. 20(6)
Florida State University (US), Imam Abdulrahman Bin Faisal University (SA)
Openalex Percentile: Top 8%
IoT Networks and Protocols
2.92
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