{"id":"https://openalex.org/W4405014347","doi":"https://doi.org/10.1145/3636534.3690681","title":"LoRaTrimmer: Optimal Energy Condensation with Chirp Trimming for LoRa Weak Signal Decoding","display_name":"LoRaTrimmer: Optimal Energy Condensation with Chirp Trimming for LoRa Weak Signal Decoding","publication_year":2024,"publication_date":"2024-12-04","ids":{"openalex":"https://openalex.org/W4405014347","doi":"https://doi.org/10.1145/3636534.3690681"},"language":"en","primary_location":{"id":"doi:10.1145/3636534.3690681","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3636534.3690681","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3636534.3690681","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3636534.3690681","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000329520","display_name":"Jialuo Du","orcid":"https://orcid.org/0009-0008-5187-5428"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialuo Du","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-5187-5428","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101877973","display_name":"Yunhao Liu","orcid":"https://orcid.org/0000-0001-8052-9200"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhao Liu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8052-9200","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026380618","display_name":"Yidong Ren","orcid":"https://orcid.org/0000-0002-6568-9692"},"institutions":[{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]},{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yidong Ren","raw_affiliation_strings":["Michigan State University, East Lansing, Michigan, United States"],"raw_orcid":"https://orcid.org/0000-0002-6568-9692","affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, Michigan, United States","institution_ids":["https://openalex.org/I87216513","https://openalex.org/I4210111179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058743292","display_name":"Li Liu","orcid":"https://orcid.org/0009-0003-0418-736X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-0418-736X","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072253749","display_name":"Zhichao Cao","orcid":"https://orcid.org/0000-0002-8159-9072"},"institutions":[{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]},{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhichao Cao","raw_affiliation_strings":["Michigan State University, East Lansing, Michigan, United States"],"raw_orcid":"https://orcid.org/0000-0002-8159-9072","affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, Michigan, United States","institution_ids":["https://openalex.org/I87216513","https://openalex.org/I4210111179"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.485,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8300055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1104","last_page":"1118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12079","display_name":"IoT Networks and Protocols","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12079","display_name":"IoT Networks and Protocols","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/chirp","display_name":"Chirp","score":0.9057503342628479},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7827737331390381},{"id":"https://openalex.org/keywords/trimming","display_name":"Trimming","score":0.7531490325927734},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6207100749015808},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5855400562286377},{"id":"https://openalex.org/keywords/condensation","display_name":"Condensation","score":0.5396841168403625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5227687358856201},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2859482169151306},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2137574553489685},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11922821402549744}],"concepts":[{"id":"https://openalex.org/C132794960","wikidata":"https://www.wikidata.org/wiki/Q27304","display_name":"Chirp","level":3,"score":0.9057503342628479},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7827737331390381},{"id":"https://openalex.org/C56951928","wikidata":"https://www.wikidata.org/wiki/Q3539213","display_name":"Trimming","level":2,"score":0.7531490325927734},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6207100749015808},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5855400562286377},{"id":"https://openalex.org/C200093464","wikidata":"https://www.wikidata.org/wiki/Q166583","display_name":"Condensation","level":2,"score":0.5396841168403625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5227687358856201},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2859482169151306},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2137574553489685},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11922821402549744},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3636534.3690681","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3636534.3690681","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3636534.3690681","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3636534.3690681","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3636534.3690681","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3636534.3690681","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4405014347.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2170215653","https://openalex.org/W2243299349","https://openalex.org/W2744263726","https://openalex.org/W2788278440","https://openalex.org/W2809209059","https://openalex.org/W2917931339","https://openalex.org/W2979547392","https://openalex.org/W2998082633","https://openalex.org/W3017347311","https://openalex.org/W3047436287","https://openalex.org/W3088407719","https://openalex.org/W3088528231","https://openalex.org/W3136411730","https://openalex.org/W3199688832","https://openalex.org/W3214172595","https://openalex.org/W4285041827","https://openalex.org/W4295979802","https://openalex.org/W4308963386","https://openalex.org/W4312411115","https://openalex.org/W4383754123","https://openalex.org/W4387126797","https://openalex.org/W4387216763","https://openalex.org/W4389296291","https://openalex.org/W4389321152","https://openalex.org/W4392564975","https://openalex.org/W4399121536","https://openalex.org/W4399320013"],"related_works":["https://openalex.org/W2467235537","https://openalex.org/W4243755427","https://openalex.org/W1493074871","https://openalex.org/W2222099502","https://openalex.org/W2128287377","https://openalex.org/W1979067309","https://openalex.org/W2375590729","https://openalex.org/W2385024427","https://openalex.org/W2978797270","https://openalex.org/W1972676838"],"abstract_inverted_index":{"LoRa":[0,23,30,44,67,113,123,129],"has":[1],"been":[2],"widely":[3],"used":[4],"for":[5],"the":[6,27,58,79,83,107,140,146,151,157,180,199,235],"Internet":[7],"of":[8,29,78,102,109,143,182,218,231,257],"Things":[9],"(IoT)":[10],"due":[11],"to":[12,32,178,193,203,212,246,254],"its":[13],"low":[14],"power":[15,171],"consumption":[16],"and":[17,62,121,167,201,229],"long":[18],"communication":[19,51],"range.":[20],"The":[21],"standard":[22,47,84],"demodulation":[24,48,68],"process":[25],"condenses":[26,128],"energy":[28],"chirps":[31],"combat":[33],"noise.":[34],"However,":[35],"there":[36],"is":[37,222],"an":[38],"intrinsic":[39],"frequency":[40,59,110,147,162],"jump":[41,60,97,111,159,163],"in":[42,53,70,187,242],"real-life":[43,189],"signals":[45],"that":[46,64,98,126],"neglects,":[49],"reducing":[50],"range":[52,142],"practice.":[54],"We":[55],"thoroughly":[56],"study":[57],"phenomenon":[61],"observe":[63],"it":[65,74,92],"affects":[66],"mainly":[69],"two":[71,134],"folds:":[72],"First,":[73,137],"makes":[75],"each":[76],"section":[77],"signal":[80,103,130,170],"shorter":[81],"than":[82],"FFT":[85,144],"perception":[86,141],"range,":[87],"introducing":[88],"additional":[89,152],"noise;":[90,153],"Second,":[91,154],"induces":[93],"a":[94,118,239],"random":[95],"phase":[96,158],"causes":[99],"destructive":[100],"addition":[101],"power.":[104,131],"To":[105],"mitigate":[106],"influence":[108],"on":[112],"demodulation,":[114],"we":[115,138,155,174],"propose":[116],"LoRaTrimmer,":[117],"novel,":[119],"fast,":[120],"noise-resilient":[122],"decoding":[124],"algorithm":[125],"optimally":[127],"LoRaTrimmer":[132,221],"contains":[133],"innovative":[135],"designs:":[136],"trim":[139],"at":[145,213],"jump,":[148],"trimming":[149],"off":[150],"bypass":[156],"induced":[160],"by":[161,164],"probabilistic":[165],"modeling":[166],"add":[168],"up":[169],"constructively.":[172],"Furthermore,":[173],"performed":[175],"theoretical":[176],"analysis":[177],"guarantee":[179],"performance":[181],"our":[183],"method.":[184],"Thorough":[185],"experiments":[186],"various":[188],"environments":[190],"show":[191],"1.70":[192],"2.49":[194],"dB":[195,205],"SNR":[196,206],"gain":[197,207,217],"over":[198,208],"state-of-the-art":[200],"3.44":[202],"3.79":[204],"FFT-based":[209],"methods,":[210],"translating":[211],"most":[214],"1.67":[215],"times":[216],"coverage":[219],"area.":[220],"also":[223],"robust":[224],"under":[225],"complex":[226],"noise":[227],"patterns,":[228],"capable":[230],"real-time":[232],"decoding,":[233],"with":[234,252],"only":[236],"overhead":[237],"being":[238],"slight":[240],"increase":[241],"computational":[243],"cost":[244],"(0.51":[245],"3.17":[247],"ms":[248,256],"per":[249],"packet,":[250],"compared":[251],"0.23":[253],"0.94":[255],"baseline":[258],"methods).":[259]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
