{"id":"https://openalex.org/W4387870633","doi":"https://doi.org/10.1109/icc45041.2023.10279016","title":"Novel ODDM Signal Detection using Contrastive Learning for High Reliability and Fast Convergence","display_name":"Novel ODDM Signal Detection using Contrastive Learning for High Reliability and Fast Convergence","publication_year":2023,"publication_date":"2023-05-28","ids":{"openalex":"https://openalex.org/W4387870633","doi":"https://doi.org/10.1109/icc45041.2023.10279016"},"language":"en","primary_location":{"id":"doi:10.1109/icc45041.2023.10279016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45041.2023.10279016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2023 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044120332","display_name":"Qingqing Cheng","orcid":"https://orcid.org/0000-0003-2664-5176"},"institutions":[{"id":"https://openalex.org/I40900055","display_name":"Telstra (Australia)","ror":"https://ror.org/04g047260","country_code":"AU","type":"company","lineage":["https://openalex.org/I40900055"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Qingqing Cheng","raw_affiliation_strings":["School of Electrical Engineering and Telecommunications, University of New South,Wales,Australia","Telstra Corp Ltd., Australia","School of Electrical Engineering and Telecommunications, University of New South, Wales, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South,Wales,Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"Telstra Corp Ltd., Australia","institution_ids":["https://openalex.org/I40900055"]},{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South, Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057129764","display_name":"Zhenguo Shi","orcid":"https://orcid.org/0000-0002-7207-547X"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhenguo Shi","raw_affiliation_strings":["School of Computing, Macquarie University,Australia","School of Computing, Macquarie University, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University,Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"School of Computing, Macquarie University, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091837980","display_name":"Jinhong Yuan","orcid":"https://orcid.org/0000-0002-5794-493X"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I40900055","display_name":"Telstra (Australia)","ror":"https://ror.org/04g047260","country_code":"AU","type":"company","lineage":["https://openalex.org/I40900055"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jinhong Yuan","raw_affiliation_strings":["School of Electrical Engineering and Telecommunications, University of New South,Wales,Australia","Telstra Corp Ltd., Australia","School of Electrical Engineering and Telecommunications, University of New South, Wales, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South,Wales,Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"Telstra Corp Ltd., Australia","institution_ids":["https://openalex.org/I40900055"]},{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South, Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044845244","display_name":"Paul Fitzpatrick","orcid":"https://orcid.org/0000-0002-6018-6658"},"institutions":[{"id":"https://openalex.org/I40900055","display_name":"Telstra (Australia)","ror":"https://ror.org/04g047260","country_code":"AU","type":"company","lineage":["https://openalex.org/I40900055"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Paul G. Fitzpatrick","raw_affiliation_strings":["School of Electrical Engineering and Telecommunications, University of New South,Wales,Australia","School of Electrical Engineering and Telecommunications, University of New South, Wales, Australia","Telstra Corp Ltd., Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South,Wales,Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South, Wales, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"Telstra Corp Ltd., Australia","institution_ids":["https://openalex.org/I40900055"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038247443","display_name":"Taka Sakurai","orcid":"https://orcid.org/0000-0003-3118-5688"},"institutions":[{"id":"https://openalex.org/I40900055","display_name":"Telstra (Australia)","ror":"https://ror.org/04g047260","country_code":"AU","type":"company","lineage":["https://openalex.org/I40900055"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Taka Sakurai","raw_affiliation_strings":["School of Electrical Engineering and Telecommunications, University of New South,Wales,Australia","School of Electrical Engineering and Telecommunications, University of New South, Wales, Australia","Telstra Corp Ltd., Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South,Wales,Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South, Wales, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"Telstra Corp Ltd., Australia","institution_ids":["https://openalex.org/I40900055"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5044120332"],"corresponding_institution_ids":["https://openalex.org/I31746571","https://openalex.org/I40900055"],"apc_list":null,"apc_paid":null,"fwci":0.1339,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45561622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1280","last_page":"1285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":0.9998999834060669,"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/T11873","display_name":"PAPR reduction in OFDM","score":0.9998999834060669,"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/T10232","display_name":"Optical Network Technologies","score":0.9936000108718872,"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":0.9873999953269958,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8004934787750244},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5410318374633789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5223135352134705},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5068982243537903},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.49356162548065186},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4799952208995819},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4789476990699768},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4629642963409424},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46227627992630005},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4264736771583557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37461215257644653},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.336093544960022},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32767966389656067}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8004934787750244},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5410318374633789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5223135352134705},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5068982243537903},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.49356162548065186},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4799952208995819},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4789476990699768},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4629642963409424},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46227627992630005},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4264736771583557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37461215257644653},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.336093544960022},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32767966389656067},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc45041.2023.10279016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45041.2023.10279016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2023 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1498305593","https://openalex.org/W2555897561","https://openalex.org/W2606981059","https://openalex.org/W2772475521","https://openalex.org/W2963716836","https://openalex.org/W3009122032","https://openalex.org/W3165171381","https://openalex.org/W3186502374","https://openalex.org/W3194009653","https://openalex.org/W3200668305","https://openalex.org/W3200797369","https://openalex.org/W4200225910","https://openalex.org/W4206138254","https://openalex.org/W4224309748","https://openalex.org/W4226460038","https://openalex.org/W4280582573","https://openalex.org/W4283701132","https://openalex.org/W4283728128","https://openalex.org/W4285047804","https://openalex.org/W6629622560","https://openalex.org/W6685265622","https://openalex.org/W6730323794","https://openalex.org/W6746668331","https://openalex.org/W6774779085","https://openalex.org/W6838870212"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W4390516098","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Orthogonal":[0],"delay-Doppler":[1],"division":[2],"multiplexing":[3],"(ODDM)":[4],"modulation":[5],"was":[6],"recently":[7],"proposed":[8,120,140],"as":[9],"a":[10,34,94],"promising":[11],"solution":[12],"for":[13,40],"high-mobility":[14],"communication":[15],"systems.":[16],"To":[17],"achieve":[18],"the":[19,46,70,104,123,128,131,139,149],"potential":[20],"of":[21,79,109,130],"ODDM,":[22],"reliable":[23,88],"signal":[24,37],"detection":[25,38,89,132,150],"is":[26,119,142],"essential,":[27],"hence,":[28],"in":[29,69],"this":[30],"work,":[31,147],"we":[32,57,92],"propose":[33],"contrastive":[35,60],"learning-based":[36,49],"approach":[39],"ODDM":[41,110],"systems,":[42],"named":[43],"CL-ODDM.":[44],"Unlike":[45],"conventional":[47],"deep":[48],"methods":[50],"which":[51],"focus":[52],"on":[53],"positive":[54,65],"samples":[55,68],"alone,":[56],"creatively":[58],"leverage":[59],"learning":[61],"to":[62,87,102,121],"exploit":[63],"both":[64],"and":[66,84,98,107,126,152],"negative":[67],"training":[71],"dataset.":[72],"By":[73],"doing":[74],"so,":[75],"more":[76],"distinguishable":[77],"information":[78],"signals":[80],"can":[81],"be":[82],"captured":[83],"extracted,":[85],"contributing":[86],"results.":[90],"Moreover,":[91],"employ":[93],"convolutional":[95],"neural":[96],"network":[97],"recurrent":[99],"encoder-decoder":[100],"(CREN)":[101],"represent":[103],"comprehensive":[105],"properties":[106],"features":[108],"signals.":[111],"In":[112],"addition,":[113],"an":[114],"adaptive":[115],"correction":[116],"method":[117],"(ACM)":[118],"increase":[122],"convergence":[124,153],"rate":[125],"improve":[127],"stability":[129],"model.":[133],"Extensive":[134],"simulation":[135],"results":[136],"validate":[137],"that":[138],"CL-ODDM":[141],"significantly":[143],"superior":[144],"state-of-the-art":[145],"related":[146],"regarding":[148],"accuracy":[151],"rate.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}