{"id":"https://openalex.org/W4414538849","doi":"https://doi.org/10.1109/icc52391.2025.11160713","title":"Deep Multi-Modal Neural Receiver for 6G Vehicular Communication","display_name":"Deep Multi-Modal Neural Receiver for 6G Vehicular Communication","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414538849","doi":"https://doi.org/10.1109/icc52391.2025.11160713"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11160713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11160713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - 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/A5072585179","display_name":"Osama Saleem","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105918","display_name":"Normandie Universit\u00e9","ror":"https://ror.org/01k40cz91","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918"]},{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]},{"id":"https://openalex.org/I88814501","display_name":"Institut National des Sciences Appliqu\u00e9es Rouen Normandie","ror":"https://ror.org/020ws7586","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I88814501"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Osama Saleem","raw_affiliation_strings":["INSA Rouen Normandie, Univ Rouen Normandie, Université Le Havre Normandie, Normandie Univ,LITIS UR 4108,Rouen,France,F-76000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INSA Rouen Normandie, Univ Rouen Normandie, Université Le Havre Normandie, Normandie Univ,LITIS UR 4108,Rouen,France,F-76000","institution_ids":["https://openalex.org/I62396329","https://openalex.org/I4210108118","https://openalex.org/I88814501","https://openalex.org/I4210105918"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040194099","display_name":"Mohammed Alfaqawi","orcid":"https://orcid.org/0000-0002-3947-1542"},"institutions":[{"id":"https://openalex.org/I4210108314","display_name":"VeDeCoM Institute","ror":"https://ror.org/01ssrp339","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210108314"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohammed Alfaqawi","raw_affiliation_strings":["Institut VEDECOM,Versailles,France,78000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut VEDECOM,Versailles,France,78000","institution_ids":["https://openalex.org/I4210108314"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000854990","display_name":"Pierre Merdrignac","orcid":"https://orcid.org/0000-0002-9528-2463"},"institutions":[{"id":"https://openalex.org/I4210108314","display_name":"VeDeCoM Institute","ror":"https://ror.org/01ssrp339","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210108314"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre Merdrignac","raw_affiliation_strings":["Institut VEDECOM,Versailles,France,78000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut VEDECOM,Versailles,France,78000","institution_ids":["https://openalex.org/I4210108314"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108358495","display_name":"Abdelaziz Bensrhair","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105918","display_name":"Normandie Universit\u00e9","ror":"https://ror.org/01k40cz91","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918"]},{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]},{"id":"https://openalex.org/I88814501","display_name":"Institut National des Sciences Appliqu\u00e9es Rouen Normandie","ror":"https://ror.org/020ws7586","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I88814501"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abdelaziz Bensrhair","raw_affiliation_strings":["INSA Rouen Normandie, Univ Rouen Normandie, Université Le Havre Normandie, Normandie Univ,LITIS UR 4108,Rouen,France,F-76000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INSA Rouen Normandie, Univ Rouen Normandie, Université Le Havre Normandie, Normandie Univ,LITIS UR 4108,Rouen,France,F-76000","institution_ids":["https://openalex.org/I62396329","https://openalex.org/I4210108118","https://openalex.org/I88814501","https://openalex.org/I4210105918"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004135395","display_name":"Soheyb Ribouh","orcid":"https://orcid.org/0000-0002-5991-8997"},"institutions":[{"id":"https://openalex.org/I4210105918","display_name":"Normandie Universit\u00e9","ror":"https://ror.org/01k40cz91","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918"]},{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]},{"id":"https://openalex.org/I88814501","display_name":"Institut National des Sciences Appliqu\u00e9es Rouen Normandie","ror":"https://ror.org/020ws7586","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I88814501"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Soheyb Ribouh","raw_affiliation_strings":["INSA Rouen Normandie, Univ Rouen Normandie, Université Le Havre Normandie, Normandie Univ,LITIS UR 4108,Rouen,France,F-76000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INSA Rouen Normandie, Univ Rouen Normandie, Université Le Havre Normandie, Normandie Univ,LITIS UR 4108,Rouen,France,F-76000","institution_ids":["https://openalex.org/I62396329","https://openalex.org/I4210108118","https://openalex.org/I88814501","https://openalex.org/I4210105918"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88727179,"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":"3082","last_page":"3087"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.95660001039505,"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"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.95660001039505,"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":0.9279000163078308,"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/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9194999933242798,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6265000104904175},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5796999931335449},{"id":"https://openalex.org/keywords/physical-layer","display_name":"Physical layer","score":0.47909998893737793},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.420199990272522},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.4196000099182129},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.3962000012397766},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.3434000015258789},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.33869999647140503}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7824000120162964},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6265000104904175},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5796999931335449},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.47909998893737793},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45750001072883606},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.420199990272522},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.4196000099182129},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.3962000012397766},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3434000015258789},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3393000066280365},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.33739998936653137},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3224000036716461},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.31130000948905945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30329999327659607},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.2892000079154968},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C175291425","wikidata":"https://www.wikidata.org/wiki/Q7281193","display_name":"Radio receiver design","level":4,"score":0.2709999978542328},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icc52391.2025.11160713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11160713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05293657v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05293657","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications, Jun 2025, Montreal, France. pp.3082-3087, ⟨10.1109/ICC52391.2025.11160713⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2734408173","https://openalex.org/W3112379500","https://openalex.org/W3114699971","https://openalex.org/W3128783847","https://openalex.org/W4225611656","https://openalex.org/W4309548501","https://openalex.org/W4379382376","https://openalex.org/W4400646913","https://openalex.org/W4400811547","https://openalex.org/W4402039472","https://openalex.org/W4406267046"],"related_works":[],"abstract_inverted_index":{"Deep":[0],"Learning":[1],"(DL)-based":[2],"neural":[3,66,90,103,207],"receiver":[4,16,67,91,104,175,208],"models":[5],"are":[6],"used":[7],"to":[8,20,68,76,123,214,219,228,233],"jointly":[9],"optimize":[10,69],"the":[11,42,106,136,150,154,159,165,173,220,230],"physical":[12],"(PHY)":[13],"layer":[14],"of":[15,49,74,87,172,222],"for":[17],"cellular":[18],"vehicle":[19,75],"everything":[21],"(C-V2X)":[22],"system":[23],"in":[24,80,132],"next":[25],"generation":[26],"(6":[27],"G)":[28],"communication.":[29],"However,":[30],"there":[31],"has":[32,176],"been":[33,177],"no":[34],"exploration":[35],"on":[36,52,158],"how":[37],"varying":[38,115],"training":[39,111],"parameters":[40,156],"affect":[41],"model's":[43],"efficiency.":[44],"Moreover,":[45],"a":[46,64],"comprehensive":[47],"evaluation":[48],"its":[50],"performance":[51],"multi-modal":[53,65,206],"data":[54,185],"remains":[55],"largely":[56],"unexplored.":[57],"To":[58],"overcome":[59],"these":[60],"issues,":[61],"we":[62],"propose":[63],"Bit":[70],"Error":[71],"Rate":[72],"(BER)":[73],"network":[77],"(V2N)":[78],"scenarios":[79],"6":[81],"G":[82],"network.":[83],"The":[84,101,127,170,198],"main":[85],"contributions":[86],"our":[88,204],"proposed":[89,102,128,174,205],"is":[92,95,99],"that":[93,203],"it":[94,119,181],"not":[96],"scenario-limited":[97],"and":[98,114,142,163,194,224],"multi-modal.":[100],"finds":[105],"best-fit":[107],"channel":[108,116,155],"model":[109,129],"by":[110,179],"at":[112,135,149],"vast":[113],"parameters.":[117],"Therefore,":[118],"can":[120],"be":[121],"applied":[122],"large":[124],"scale":[125],"scenarios.":[126],"gets":[130],"signal":[131],"frequency":[133],"domain":[134],"base":[137],"station":[138],"(BS)":[139],"as":[140],"input":[141],"generates":[143],"optimal":[144],"log":[145],"likelihood":[146],"ratio":[147],"(LLR)":[148],"output.":[151],"It":[152],"estimates":[153],"based":[157],"received":[160],"signal,":[161],"equalizes":[162],"demodulates":[164],"higher":[166],"order":[167],"modulated":[168],"signal.":[169,197],"multimodality":[171],"demonstrated":[178],"testing":[180],"across":[182],"diverse":[183],"V2X":[184],"flows":[186],"e.g.,":[187],"image,":[188],"video,":[189],"GPS,":[190],"lidar":[191],"cloud":[192],"points":[193],"radar":[195],"detection":[196],"simulation":[199],"results":[200],"clearly":[201],"indicates":[202],"achieves":[209],"approximately":[210],"25":[211],"%":[212,226],"improvement":[213,227],"achieve":[215,229],"minimal":[216],"BER":[217],"compared":[218,232],"state-of-the-art":[221],"DeepRx":[223],"60":[225],"same":[231],"Baseline.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}