{"id":"https://openalex.org/W4385624456","doi":"https://doi.org/10.1109/icufn57995.2023.10200584","title":"CNN-Based DMRS Pattern Optimization for 5G Vehicle-to-Everything Communications","display_name":"CNN-Based DMRS Pattern Optimization for 5G Vehicle-to-Everything Communications","publication_year":2023,"publication_date":"2023-07-04","ids":{"openalex":"https://openalex.org/W4385624456","doi":"https://doi.org/10.1109/icufn57995.2023.10200584"},"language":"en","primary_location":{"id":"doi:10.1109/icufn57995.2023.10200584","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icufn57995.2023.10200584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)","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/A5110594181","display_name":"Gayeon Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Gayeon Kim","raw_affiliation_strings":["Soonchunhyang University,dept. Information and Communication Engineering,Asan,Republic of Korea","dept. Information and Communication Engineering, Soonchunhyang University, Asan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Soonchunhyang University,dept. Information and Communication Engineering,Asan,Republic of Korea","institution_ids":["https://openalex.org/I24541011"]},{"raw_affiliation_string":"dept. Information and Communication Engineering, Soonchunhyang University, Asan, Republic of Korea","institution_ids":["https://openalex.org/I24541011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086618843","display_name":"Taejun Choi","orcid":"https://orcid.org/0000-0002-0630-2427"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taejun Choi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101038153","display_name":"Jeong-hoon Bae","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeonghoon Bae","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111020765","display_name":"Daegun Jang","orcid":null},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daegun Jang","raw_affiliation_strings":["Soonchunhyang University,dept. ICT Convergence,Asan,Republic of Korea","dept. ICT Convergence, Soonchunhyang University, Asan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Soonchunhyang University,dept. ICT Convergence,Asan,Republic of Korea","institution_ids":["https://openalex.org/I24541011"]},{"raw_affiliation_string":"dept. ICT Convergence, Soonchunhyang University, Asan, Republic of Korea","institution_ids":["https://openalex.org/I24541011"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068797221","display_name":"Taehyoung Kim","orcid":"https://orcid.org/0000-0001-6986-4729"},"institutions":[{"id":"https://openalex.org/I24541011","display_name":"Soonchunhyang University","ror":"https://ror.org/03qjsrb10","country_code":"KR","type":"education","lineage":["https://openalex.org/I24541011"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taehyoung Kim","raw_affiliation_strings":["Soonchunhyang University,dept. Information and Communication Engineering,Asan,Republic of Korea","dept. Information and Communication Engineering, Soonchunhyang University, Asan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Soonchunhyang University,dept. Information and Communication Engineering,Asan,Republic of Korea","institution_ids":["https://openalex.org/I24541011"]},{"raw_affiliation_string":"dept. Information and Communication Engineering, Soonchunhyang University, Asan, Republic of Korea","institution_ids":["https://openalex.org/I24541011"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110594181"],"corresponding_institution_ids":["https://openalex.org/I24541011"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07824879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"819","last_page":"821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","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/T12146","display_name":"Power Line Communications and Noise","score":0.97079998254776,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9616000056266785,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":0.7601001262664795},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5878455638885498},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.541111171245575},{"id":"https://openalex.org/keywords/demodulation","display_name":"Demodulation","score":0.4731634259223938},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.42364126443862915},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3882109522819519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37521785497665405},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3628671169281006},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3203815519809723},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19981372356414795},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1458563506603241},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10511809587478638}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7601001262664795},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5878455638885498},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.541111171245575},{"id":"https://openalex.org/C195251586","wikidata":"https://www.wikidata.org/wiki/Q1185939","display_name":"Demodulation","level":3,"score":0.4731634259223938},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.42364126443862915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3882109522819519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37521785497665405},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3628671169281006},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3203815519809723},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19981372356414795},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1458563506603241},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10511809587478638}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icufn57995.2023.10200584","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icufn57995.2023.10200584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)","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":1,"referenced_works":["https://openalex.org/W3126365018"],"related_works":["https://openalex.org/W1996543123","https://openalex.org/W4388516297","https://openalex.org/W2010761432","https://openalex.org/W4389302182","https://openalex.org/W2089955640","https://openalex.org/W4229074657","https://openalex.org/W1978322239","https://openalex.org/W2146363836","https://openalex.org/W2070047532","https://openalex.org/W2385405232"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,40],"optimize":[4],"the":[5,12,26,37,49,55,63,71,81,98],"demodulation":[6],"reference":[7],"signal":[8],"(DMRS)":[9],"pattern":[10,52,74],"of":[11,91],"physical":[13],"sidelink":[14],"shared":[15],"channel":[16,27],"(PSSCH)":[17],"based":[18],"on":[19],"a":[20,42],"deep":[21],"learning":[22],"approach":[23],"to":[24,97],"maximize":[25],"estimation":[28],"performance":[29,87],"for":[30,54,70],"5G":[31],"vehicle-to-everything":[32],"(V2X)":[33],"communication":[34],"systems.":[35],"For":[36],"DMRS":[38,51,73,100],"optimization,":[39],"design":[41],"convolutional":[43],"neural":[44],"network":[45],"(CNN)":[46],"which":[47],"classifies":[48],"optimal":[50,72],"index":[53],"given":[56],"received":[57],"signals.":[58],"It":[59],"is":[60],"shown":[61],"that":[62,80],"proposed":[64,82],"CNN":[65],"structure":[66],"achieves":[67,84],"91%":[68],"accuracy":[69],"index.":[75],"The":[76],"simulation":[77],"results":[78],"verify":[79],"scheme":[83],"4":[85],"dB":[86],"gain":[88],"in":[89],"terms":[90],"mean":[92],"square":[93],"error":[94],"(MSE)":[95],"compared":[96],"legacy":[99],"pattern.":[101]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}