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 |
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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. |
doi_str_mv | 10.1109/LCOMM.2020.3034865 |
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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.</description><identifier>ISSN: 1089-7798</identifier><identifier>EISSN: 1558-2558</identifier><identifier>DOI: 10.1109/LCOMM.2020.3034865</identifier><identifier>CODEN: ICLEF6</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>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</subject><ispartof>IEEE communications letters, 2021-03, Vol.25 (3), p.1037-1040</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-cd7c90b3b4ccdb7ece369ab687929af0cf4f76ae8b716ee6ac49927b30bffc393</citedby><cites>FETCH-LOGICAL-c295t-cd7c90b3b4ccdb7ece369ab687929af0cf4f76ae8b716ee6ac49927b30bffc393</cites><orcidid>0000-0002-5702-8712</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9244125$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9244125$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Qadir, Qahhar Muhammad</creatorcontrib><title>Analysis of the Reliability of LoRa</title><title>IEEE communications letters</title><addtitle>COML</addtitle><description>This letter studies the performance of a single gateway LoRa system in the presence of different interference considering the imperfect orthogonality effect. 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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. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-5702-8712</orcidid></search><sort><creationdate>20210301</creationdate><title>Analysis of the Reliability of LoRa</title><author>Qadir, Qahhar Muhammad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-cd7c90b3b4ccdb7ece369ab687929af0cf4f76ae8b716ee6ac49927b30bffc393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Annuli</topic><topic>Computational modeling</topic><topic>frame loss</topic><topic>Interference</topic><topic>IoT</topic><topic>Logic gates</topic><topic>long range</topic><topic>LoRa</topic><topic>LoRaWAN</topic><topic>LPWA</topic><topic>Mathematical model</topic><topic>Monte Carlo simulation</topic><topic>Orthogonality</topic><topic>outage probability</topic><topic>packet loss</topic><topic>Performance degradation</topic><topic>Power system reliability</topic><topic>Probability</topic><topic>Reliability analysis</topic><topic>Signal to noise ratio</topic><topic>success probability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Qadir, Qahhar Muhammad</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE communications letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Qadir, Qahhar Muhammad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of the Reliability of LoRa</atitle><jtitle>IEEE communications letters</jtitle><stitle>COML</stitle><date>2021-03-01</date><risdate>2021</risdate><volume>25</volume><issue>3</issue><spage>1037</spage><epage>1040</epage><pages>1037-1040</pages><issn>1089-7798</issn><eissn>1558-2558</eissn><coden>ICLEF6</coden><abstract>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. 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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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