{"id":"https://openalex.org/W3009314604","doi":"https://doi.org/10.1109/ants47819.2019.9117972","title":"Channel Estimation in C-V2X using Deep Learning","display_name":"Channel Estimation in C-V2X using Deep Learning","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3009314604","doi":"https://doi.org/10.1109/ants47819.2019.9117972","mag":"3009314604"},"language":"en","primary_location":{"id":"doi:10.1109/ants47819.2019.9117972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ants47819.2019.9117972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2003.02617","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087131291","display_name":"Raja Sattiraju","orcid":"https://orcid.org/0000-0002-5895-040X"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Raja Sattiraju","raw_affiliation_strings":["Chair for Wireless Communication &#x0026; Navigation, University of Kaiserslautern","[Chair for Wireless Communication & Navigation, University of Kaiserslautern]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair for Wireless Communication &#x0026; Navigation, University of Kaiserslautern","institution_ids":["https://openalex.org/I153267046"]},{"raw_affiliation_string":"[Chair for Wireless Communication & Navigation, University of Kaiserslautern]","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064426353","display_name":"Andreas Weinand","orcid":null},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Weinand","raw_affiliation_strings":["Chair for Wireless Communication &#x0026; Navigation, University of Kaiserslautern","[Chair for Wireless Communication & Navigation, University of Kaiserslautern]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair for Wireless Communication &#x0026; Navigation, University of Kaiserslautern","institution_ids":["https://openalex.org/I153267046"]},{"raw_affiliation_string":"[Chair for Wireless Communication & Navigation, University of Kaiserslautern]","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008473850","display_name":"Hans D. Schotten","orcid":"https://orcid.org/0000-0001-5005-3635"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hans D. Schotten","raw_affiliation_strings":["Chair for Wireless Communication &#x0026; Navigation, University of Kaiserslautern","University of Kaiserslautern"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair for Wireless Communication &#x0026; Navigation, University of Kaiserslautern","institution_ids":["https://openalex.org/I153267046"]},{"raw_affiliation_string":"University of Kaiserslautern","institution_ids":["https://openalex.org/I153267046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153267046"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20213958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9972000122070312,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.996399998664856,"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/channel","display_name":"Channel (broadcasting)","score":0.7766973972320557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7397599816322327},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.7202185392379761},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.6392888426780701},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4956244230270386},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4669066071510315},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.44450801610946655},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4428061544895172},{"id":"https://openalex.org/keywords/phy","display_name":"PHY","score":0.4357254207134247},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.42611145973205566},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4208940863609314},{"id":"https://openalex.org/keywords/symbol","display_name":"Symbol (formal)","score":0.41801953315734863},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4151567816734314},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34431618452072144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30933842062950134},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3030821681022644},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.2696956396102905},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13079804182052612},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10406050086021423},{"id":"https://openalex.org/keywords/physical-layer","display_name":"Physical layer","score":0.08006551861763},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07289129495620728}],"concepts":[{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7766973972320557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7397599816322327},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.7202185392379761},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.6392888426780701},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4956244230270386},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4669066071510315},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.44450801610946655},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4428061544895172},{"id":"https://openalex.org/C41918916","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"PHY","level":4,"score":0.4357254207134247},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.42611145973205566},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4208940863609314},{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.41801953315734863},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4151567816734314},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34431618452072144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30933842062950134},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3030821681022644},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2696956396102905},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13079804182052612},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10406050086021423},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.08006551861763},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07289129495620728},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ants47819.2019.9117972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ants47819.2019.9117972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2003.02617","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.02617","pdf_url":"https://arxiv.org/pdf/2003.02617","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3009314604","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2003.02617.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2003.02617","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2003.02617","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2003.02617","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.02617","pdf_url":"https://arxiv.org/pdf/2003.02617","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310476","display_name":"Bundesministerium f\u00fcr Verkehr und Digitale Infrastruktur","ror":"https://ror.org/00e3ns026"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3009314604.pdf","grobid_xml":"https://content.openalex.org/works/W3009314604.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W140064386","https://openalex.org/W877915284","https://openalex.org/W1554438505","https://openalex.org/W1805097508","https://openalex.org/W2077782702","https://openalex.org/W2103699908","https://openalex.org/W2131194367","https://openalex.org/W2562947506","https://openalex.org/W2734408173","https://openalex.org/W2741764191","https://openalex.org/W2769062082","https://openalex.org/W2903149176","https://openalex.org/W2940353687","https://openalex.org/W2963190722","https://openalex.org/W2963836746","https://openalex.org/W2963889719","https://openalex.org/W2964121744","https://openalex.org/W2964231443"],"related_works":["https://openalex.org/W3036060442","https://openalex.org/W3184140944","https://openalex.org/W2996956941","https://openalex.org/W3177903844","https://openalex.org/W3112648113","https://openalex.org/W3091508100","https://openalex.org/W2184705419","https://openalex.org/W2903681760","https://openalex.org/W2998367651","https://openalex.org/W2145450896","https://openalex.org/W95607516","https://openalex.org/W2228482378","https://openalex.org/W2151823311","https://openalex.org/W2622375403","https://openalex.org/W2034475398","https://openalex.org/W1577627004","https://openalex.org/W3157093784","https://openalex.org/W2963624992","https://openalex.org/W2504686679","https://openalex.org/W3128312271"],"abstract_inverted_index":{"Channel":[0,26],"estimation":[1,91,121,139],"forms":[2],"one":[3,45],"of":[4,46,78,109],"the":[5,20,25,31,38,47,52,66,76,107,110,117,130,135],"central":[6],"component":[7],"in":[8,51,92,96,124],"current":[9],"Orthogonal":[10],"Frequency":[11],"Division":[12],"Multiplexing":[13],"(OFDM)":[14],"systems":[15],"that":[16,129],"aims":[17],"to":[18,116],"eliminate":[19],"inter-symbol":[21],"interference":[22],"by":[23],"calculating":[24],"State":[27],"Information":[28],"(CSI)":[29],"using":[30],"pilot":[32],"symbols":[33],"and":[34,59],"interpolating":[35],"them":[36],"across":[37],"entire":[39],"time-frequency":[40],"grid.":[41],"It":[42],"is":[43],"also":[44],"most":[48,68],"researched":[49],"field":[50],"Physical":[53],"Layer":[54],"(PHY)":[55],"with":[56],"Least-Squares":[57],"(LS)":[58],"Minimum":[60],"Mean":[61],"Squared":[62],"Error":[63],"(MMSE)":[64],"being":[65],"two":[67],"used":[69,95],"methods.":[70],"In":[71],"this":[72,103],"work,":[73],"we":[74,105],"investigate":[75],"performance":[77,108],"deep":[79],"neural":[80],"network":[81],"architecture":[82,133],"based":[83],"on":[84],"Convolutional":[85],"Neural":[86],"Networks":[87],"(CNNs)":[88],"for":[89],"channel":[90,120,138],"vehicular":[93],"environments":[94],"3GPP":[97],"Rel.14":[98],"Cellular-Vehicle-to-Everything":[99],"(C-V2X)":[100],"technology.":[101],"To":[102],"end,":[104],"compare":[106],"proposed":[111,131],"Deep":[112],"Learning":[113],"(DL)":[114],"architectures":[115],"legacy":[118,136],"LS":[119],"currently":[122],"employed":[123],"C-V2X.":[125],"Initial":[126],"investigations":[127],"prove":[128],"DL":[132],"outperform":[134],"C-V2X":[137],"methods":[140],"especially":[141],"at":[142],"high":[143],"mobile":[144],"speeds.":[145]},"counts_by_year":[],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-10-10T00:00:00"}
