{"id":"https://openalex.org/W4387126797","doi":"https://doi.org/10.1145/3565287.3610254","title":"SRLoRa: Neural-enhanced LoRa Weak Signal Decoding with Multi-gateway Super Resolution","display_name":"SRLoRa: Neural-enhanced LoRa Weak Signal Decoding with Multi-gateway Super Resolution","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387126797","doi":"https://doi.org/10.1145/3565287.3610254"},"language":"en","primary_location":{"id":"doi:10.1145/3565287.3610254","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3565287.3610254","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3565287.3610254","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","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/10.1145/3565287.3610254","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":true,"raw_author_name":"Jialuo Du","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, 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/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]},{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yidong Ren","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan, United States of America","institution_ids":["https://openalex.org/I87216513","https://openalex.org/I4210111179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086958281","display_name":"Zhui Zhu","orcid":"https://orcid.org/0009-0001-9464-0337"},"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":"Zhui Zhu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002488050","display_name":"Chenning Li","orcid":"https://orcid.org/0000-0002-6279-7911"},"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":"Chenning Li","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan, United States of America","institution_ids":["https://openalex.org/I87216513","https://openalex.org/I4210111179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072253749","display_name":"Zhichao Cao","orcid":"https://orcid.org/0000-0002-8159-9072"},"institutions":[{"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":["Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625585","display_name":"Qiang Ma","orcid":"https://orcid.org/0000-0001-5791-1890"},"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":"Qiang Ma","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","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":["Department of Automation, Tsinghua University, Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5000329520"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.5082,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.89834843,"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":"270","last_page":"279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12079","display_name":"IoT Networks and Protocols","score":0.9994000196456909,"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":0.9994000196456909,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.965499997138977,"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/computer-science","display_name":"Computer science","score":0.8089123964309692},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6387729644775391},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4791147708892822},{"id":"https://openalex.org/keywords/default-gateway","display_name":"Default gateway","score":0.4627400040626526},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.44228360056877136},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4274994134902954},{"id":"https://openalex.org/keywords/lpwan","display_name":"LPWAN","score":0.4117797017097473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23079511523246765},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17114245891571045},{"id":"https://openalex.org/keywords/wide-area-network","display_name":"Wide area network","score":0.10802119970321655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8089123964309692},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6387729644775391},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4791147708892822},{"id":"https://openalex.org/C187713609","wikidata":"https://www.wikidata.org/wiki/Q2465461","display_name":"Default gateway","level":2,"score":0.4627400040626526},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.44228360056877136},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4274994134902954},{"id":"https://openalex.org/C2776445043","wikidata":"https://www.wikidata.org/wiki/Q20706829","display_name":"LPWAN","level":3,"score":0.4117797017097473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23079511523246765},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17114245891571045},{"id":"https://openalex.org/C2776238582","wikidata":"https://www.wikidata.org/wiki/Q11384","display_name":"Wide area network","level":2,"score":0.10802119970321655}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3565287.3610254","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3565287.3610254","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3565287.3610254","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3565287.3610254","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3565287.3610254","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3565287.3610254","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G211421537","display_name":null,"funder_award_id":"61972218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2829619429","display_name":null,"funder_award_id":"62072272","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387126797.pdf","grobid_xml":"https://content.openalex.org/works/W4387126797.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2734408173","https://openalex.org/W2736068844","https://openalex.org/W2744263726","https://openalex.org/W2798521665","https://openalex.org/W2917931339","https://openalex.org/W2943832862","https://openalex.org/W3033228838","https://openalex.org/W3047436287","https://openalex.org/W3047548313","https://openalex.org/W3088528231","https://openalex.org/W3124718178","https://openalex.org/W3214172595","https://openalex.org/W4210582629","https://openalex.org/W4232721844","https://openalex.org/W4285041827"],"related_works":["https://openalex.org/W2902299988","https://openalex.org/W4385269846","https://openalex.org/W4285279042","https://openalex.org/W3172118396","https://openalex.org/W2990354069","https://openalex.org/W2896332706","https://openalex.org/W2761151461","https://openalex.org/W2952763095","https://openalex.org/W4312070791","https://openalex.org/W3003171010"],"abstract_inverted_index":{"LoRa":[0,4,30,103,118,196,233],"and":[1,27,125,156,168,194,198,203],"its":[2,200],"enabled":[3],"wide-area":[5,56],"network":[6,18],"(LoRaWAN)":[7],"have":[8],"been":[9],"seen":[10],"as":[11],"an":[12,100,235],"important":[13],"part":[14],"of":[15,66,222],"the":[16,36,54,64,77,88,108,160,172],"next-generation":[17],"for":[19,72],"massive":[20],"Internet-of-Things":[21],"(IoT).":[22],"Due":[23],"to":[24,52,85,114,128,146,163,178,183,225,231],"LoRa's":[25],"low-power":[26],"long-range":[28],"nature,":[29],"signals":[31],"are":[32],"much":[33],"weaker":[34],"than":[35],"noise":[37],"floor,":[38],"particularly":[39],"in":[40,58,91,159,234],"complex":[41],"urban":[42,236],"or":[43],"semi-indoor":[44],"environments.":[45],"Therefore,":[46],"weak":[47,73,117],"signal":[48,74,130,186],"decoding":[49],"is":[50,83,220],"critical":[51],"achieve":[53],"desired":[55],"coverage":[57,228],"general.":[59],"Existing":[60],"work":[61],"has":[62],"shown":[63],"advantages":[65],"exploring":[67],"deep":[68],"neural":[69],"networks":[70],"(DNN)":[71],"decoding.":[75],"However,":[76],"existing":[78],"single-gateway":[79],"based":[80],"DNN":[81,102,181],"decoder":[82,104],"hard":[84],"fully":[86,106],"leverage":[87],"spatial":[89,109],"information":[90,110],"multi-gateway":[92],"scenarios.":[93],"In":[94],"this":[95],"paper,":[96],"we":[97,121],"propose":[98],"SRLoRa,":[99],"efficient":[101,137],"that":[105,208],"utilizes":[107],"from":[111,175],"multiple":[112,176],"gateways":[113,177],"decode":[115],"extremely":[116],"signals.":[119,152],"Specifically,":[120],"design":[122],"interleaving":[123],"denoising":[124,144],"merging":[126,138,161,171],"layers":[127,182],"improve":[129,185],"quality":[131],"at":[132,216],"ultra-low":[133],"SNR.":[134],"We":[135,153,188],"develop":[136],"on":[139],"feature":[140],"maps":[141],"extracted":[142,174],"by":[143],"DNNs":[145],"tolerate":[147],"time":[148],"misalignments":[149],"among":[150],"different":[151],"define":[154],"max":[155],"min":[157],"operations":[158],"layer":[162],"efficiently":[164],"extract":[165],"salient":[166],"features":[167,173],"reduce":[169],"noise,":[170],"guide":[179],"future":[180],"gradually":[184],"quality.":[187],"implement":[189],"SRLoRa":[190,212],"with":[191,209],"USPR":[192],"N210":[193],"commercial":[195],"nodes":[197],"evaluate":[199],"performance":[201],"indoors":[202],"outdoors.":[204],"The":[205],"results":[206],"show":[207],"four":[210],"gateways,":[211],"achieves":[213],"SNR":[214],"gain":[215],"4.53--4.82":[217],"dB,":[218],"which":[219],"2.51\u00d7":[221],"Charm,":[223],"leading":[224],"a":[226],"1.84\u00d7":[227],"area":[229],"compared":[230],"standard":[232],"deployment.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":7}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}