Improving the Capacity of LR-FHSS Networks with Robust Successive Interference Cancellation

Long Range-Frequency Hopping Spread Spectrum (LR-FHSS) is a new wireless modulation technique that has attracted a considerable amount of attention due to its high network capacity. In this paper, we propose a Successive Interference Cancellation (SIC) method for LR-FHSS that is capable of reconstructing the signal waveform effectively under collision. We test the SIC method with simulations driven by real-world packet traces and the results show that it roughly doubles the network capacity comparing to the existing SIC method. We also develop a simple analytical bound for the capacity of LR-FHSS networks. The results show that the network capacity achieved by our receiver is within 67% or 62% of the bound depending on the data rate, which suggests that our receiver is approaching the limit of LR-FHSS networks because the analytical bound is based on certain idealist assumptions.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/iccworkshops67674.2025.11162475
Primary Topic
Power Line Communications and Noise
Type
article
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article

Improving the Capacity of LR-FHSS Networks with Robust Successive Interference Cancellation

Jumana Bukhari, Zhenghao Zhang
Power Line Communications and Noise
article

Improving the Capacity of LR-FHSS Networks with Robust Successive Interference Cancellation

Jumana Bukhari, Zhenghao Zhang
article en

Abstract

Long Range-Frequency Hopping Spread Spectrum (LR-FHSS) is a new wireless modulation technique that has attracted a considerable amount of attention due to its high network capacity. In this paper, we propose a Successive Interference Cancellation (SIC) method for LR-FHSS that is capable of reconstructing the signal waveform effectively under collision. We test the SIC method with simulations driven by real-world packet traces and the results show that it roughly doubles the network capacity comparing to the existing SIC method. We also develop a simple analytical bound for the capacity of LR-FHSS networks. The results show that the network capacity achieved by our receiver is within 67% or 62% of the bound depending on the data rate, which suggests that our receiver is approaching the limit of LR-FHSS networks because the analytical bound is based on certain idealist assumptions.

Florida State University (US)
Openalex Percentile: Top 75%
Power Line Communications and Noise
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