Coded LoRa Frame Error Rate Analysis

Orion Afisiadis; Andreas Burg; Alexios Balatsoukas-Stimming

doi:10.1109/ICC40277.2020.9148806

Coded LoRa Frame Error Rate Analysis

Orion Afisiadis, Andreas Burg, Alexios Balatsoukas-Stimming

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

30 Citations (Scopus)

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.

Original language	English
Title of host publication	2020 IEEE International Conference on Communications, ICC 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	6
ISBN (Electronic)	9781728150895
DOIs	https://doi.org/10.1109/ICC40277.2020.9148806
Publication status	Published - Jun 2020
Event	2020 IEEE International Conference on Communications (ICC 2020) - Dublin, Ireland Duration: 7 Jun 2020 → 11 Jun 2020

Conference

Conference	2020 IEEE International Conference on Communications (ICC 2020)
Country/Territory	Ireland
City	Dublin
Period	7/06/20 → 11/06/20

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10.1109/ICC40277.2020.9148806

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title = "Coded LoRa Frame Error Rate Analysis",

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.",

author = "Orion Afisiadis and Andreas Burg and Alexios Balatsoukas-Stimming",

year = "2020",

month = jun,

doi = "10.1109/ICC40277.2020.9148806",

language = "English",

booktitle = "2020 IEEE International Conference on Communications, ICC 2020 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2020 IEEE International Conference on Communications (ICC 2020) ; Conference date: 07-06-2020 Through 11-06-2020",

}

Afisiadis, O, Burg, A & Balatsoukas-Stimming, A 2020, Coded LoRa Frame Error Rate Analysis. in 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings., 9148806, Institute of Electrical and Electronics Engineers, 2020 IEEE International Conference on Communications (ICC 2020), Dublin, Ireland, 7/06/20. https://doi.org/10.1109/ICC40277.2020.9148806

TY - GEN

T1 - Coded LoRa Frame Error Rate Analysis

AU - Afisiadis, Orion

AU - Burg, Andreas

AU - Balatsoukas-Stimming, Alexios

PY - 2020/6

Y1 - 2020/6

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85089426206&partnerID=8YFLogxK

U2 - 10.1109/ICC40277.2020.9148806

DO - 10.1109/ICC40277.2020.9148806

M3 - Conference contribution

AN - SCOPUS:85089426206

BT - 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers

T2 - 2020 IEEE International Conference on Communications (ICC 2020)

Y2 - 7 June 2020 through 11 June 2020

ER -

Coded LoRa Frame Error Rate Analysis

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