Analysis of the Reliability of LoRa

This letter studies the performance of a single gateway LoRa system in the presence of different interference considering the imperfect orthogonality effect. It utilizes concepts of stochastic geometry to present a low-complexity approximate closed-form model for computing the success and coverage p...

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Veröffentlicht in:IEEE communications letters 2021-03, Vol.25 (3), p.1037-1040
1. Verfasser: Qadir, Qahhar Muhammad
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description This letter studies the performance of a single gateway LoRa system in the presence of different interference considering the imperfect orthogonality effect. It utilizes concepts of stochastic geometry to present a low-complexity approximate closed-form model for computing the success and coverage probabilities under these challenging conditions. Monte Carlo simulation results have shown that LoRa is not as theoretically described as a technology that can cover few to ten kilometers. It was found that in the presence of the combination of signal-to-noise ratio (SNR) and imperfect orthogonality between spreading factors (SF), the performance degrades dramatically beyond a couple of kilometers. However, better performance is observed when perfect orthogonality is considered and SNR is not included. Furthermore, the performance is annulus dependent and slightly improves at the border of the deployment cell annuli. Finally, the coverage probability declines exponentially as the average number of end devices grows.
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Finally, the coverage probability declines exponentially as the average number of end devices grows.</description><subject>Annuli</subject><subject>Computational modeling</subject><subject>frame loss</subject><subject>Interference</subject><subject>IoT</subject><subject>Logic gates</subject><subject>long range</subject><subject>LoRa</subject><subject>LoRaWAN</subject><subject>LPWA</subject><subject>Mathematical model</subject><subject>Monte Carlo simulation</subject><subject>Orthogonality</subject><subject>outage probability</subject><subject>packet loss</subject><subject>Performance degradation</subject><subject>Power system reliability</subject><subject>Probability</subject><subject>Reliability analysis</subject><subject>Signal to noise ratio</subject><subject>success probability</subject><issn>1089-7798</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1LAzEQhoMoWKt_QC-FnrdOvpNjKX7BlkLRc0jSCW5Z3brZHvrv3XWLl5lheJ9heAi5p7CgFOxjudqs1wsGDBYcuDBKXpAJldIUrC-X_QzGFlpbc01uct4DgGGSTsh8-e3rU67yrEmz7hNnW6wrH6q66k7Dqmy2_pZcJV9nvDv3Kfl4fnpfvRbl5uVttSyLyKzsirjT0ULgQcS4CxojcmV9UEZbZn2CmETSyqMJmipE5aOwlunAIaQUueVTMh_vHtrm54i5c_vm2Pb_ZcckUM5ACdqn2JiKbZNzi8kd2urLtydHwQ0y3J8MN8hwZxk99DBCFSL-A5YJQZnkv6MfWgk</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>Qadir, Qahhar Muhammad</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects Annuli
Computational modeling
frame loss
Interference
IoT
Logic gates
long range
LoRa
LoRaWAN
LPWA
Mathematical model
Monte Carlo simulation
Orthogonality
outage probability
packet loss
Performance degradation
Power system reliability
Probability
Reliability analysis
Signal to noise ratio
success probability
title Analysis of the Reliability of LoRa
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