Coded LoRa Frame Error Rate Analysis
Orion Afisiadis, Andreas Burg, and Alexios Balatsoukas-Stimming

TL;DR
This paper analyzes the coded frame error rate of LoRa technology under AWGN and CFO conditions, providing new analytical expressions validated by simulations.
Contribution
It introduces a comprehensive FER analysis for LoRa that incorporates channel coding, interleaving, and Gray mapping, including effects of carrier frequency offset.
Findings
Analytical FER expressions closely match simulation results.
New insights into LoRa performance under CFO conditions.
Enhanced understanding of LoRa's robustness with coding and interleaving.
Abstract
In this work, we study the coded frame error rate (FER) of LoRa under additive white Gaussian noise (AWGN) and under carrier frequency offset (CFO). To this end, we use existing approximations for the bit error rate (BER) of the LoRa modulation under AWGN and we present a FER analysis that includes the channel coding, interleaving, and Gray mapping of the LoRa physical layer. We also derive the LoRa BER under carrier frequency offset and we present a corresponding FER analysis. We compare the derived frame error rate expressions to Monte Carlo simulations to verify their accuracy.
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