{"id":"https://openalex.org/W2959562235","doi":"https://doi.org/10.1109/iccw.2019.8756717","title":"Vehicular Channel Characterization in Orthogonal Time-Frequency Space","display_name":"Vehicular Channel Characterization in Orthogonal Time-Frequency Space","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2959562235","doi":"https://doi.org/10.1109/iccw.2019.8756717","mag":"2959562235"},"language":"en","primary_location":{"id":"doi:10.1109/iccw.2019.8756717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccw.2019.8756717","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 Communications Workshops (ICC Workshops)","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/A5041918435","display_name":"Thomas Blazek","orcid":"https://orcid.org/0000-0001-6544-8955"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Thomas Blazek","raw_affiliation_strings":["Institute of Telecommunications TU Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043485012","display_name":"Herbert Groll","orcid":"https://orcid.org/0000-0003-3724-2911"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Herbert Groll","raw_affiliation_strings":["Institute of Telecommunications TU Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083417991","display_name":"Stefan Pratschner","orcid":"https://orcid.org/0000-0003-2169-6628"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]},{"id":"https://openalex.org/I4210105054","display_name":"Christian Doppler Laboratory for Thermoelectricity","ror":"https://ror.org/01cbw5x35","country_code":"AT","type":"facility","lineage":["https://openalex.org/I129774422","https://openalex.org/I145847075","https://openalex.org/I4210105054"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Stefan Pratschner","raw_affiliation_strings":["Christian Doppler Laboratory for Dependable Wireless Connectivity for the Society in Motion TU Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Christian Doppler Laboratory for Dependable Wireless Connectivity for the Society in Motion TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I4210105054","https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076624170","display_name":"Erich Z\u00f6chmann","orcid":null},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Erich Zochmann","raw_affiliation_strings":["Department of Radio Electronics TU Brno, Brno, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radio Electronics TU Brno, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9687,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76312707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"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/T11873","display_name":"PAPR reduction in OFDM","score":1.0,"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":1.0,"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":0.9915000200271606,"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":0.9732999801635742,"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/akaike-information-criterion","display_name":"Akaike information criterion","score":0.7192923426628113},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6603952646255493},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6011127829551697},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5942714214324951},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5928558111190796},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.5203503966331482},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.47906073927879333},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.46624770760536194},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45794859528541565},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.39254581928253174},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2673085927963257},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16642120480537415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1610499620437622},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09458047151565552},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.07344713807106018},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0635470449924469}],"concepts":[{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.7192923426628113},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6603952646255493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6011127829551697},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5942714214324951},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5928558111190796},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.5203503966331482},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.47906073927879333},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.46624770760536194},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45794859528541565},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.39254581928253174},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2673085927963257},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16642120480537415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1610499620437622},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09458047151565552},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.07344713807106018},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0635470449924469},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccw.2019.8756717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccw.2019.8756717","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 Communications Workshops (ICC Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311813","display_name":"\u00d6sterreichische Nationalstiftung f\u00fcr Forschung, Technologie und Entwicklung","ror":"https://ror.org/04hb33h70"},{"id":"https://openalex.org/F4320327593","display_name":"Bundesministerium f\u00fcr Digitalisierung und Wirtschaftsstandort","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1511751337","https://openalex.org/W2068349748","https://openalex.org/W2101846955","https://openalex.org/W2158196600","https://openalex.org/W2469129780","https://openalex.org/W2612254130","https://openalex.org/W2763125446","https://openalex.org/W2787488328","https://openalex.org/W2795982275","https://openalex.org/W2889136188","https://openalex.org/W2899131610","https://openalex.org/W2901675222","https://openalex.org/W2901891349","https://openalex.org/W2907459259","https://openalex.org/W2907877946","https://openalex.org/W2961897267","https://openalex.org/W2963986627","https://openalex.org/W2964074105","https://openalex.org/W3125855424","https://openalex.org/W6748800977","https://openalex.org/W6755576405","https://openalex.org/W6761658729"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1987464952","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2735932032","https://openalex.org/W2028169157","https://openalex.org/W160076578"],"abstract_inverted_index":{"Orthogonal":[0],"time-frequency":[1],"space":[2],"(OTFS)":[3],"modulation":[4,9,138],"has":[5],"been":[6],"suggested":[7],"as":[8,24],"scheme":[10,21],"for":[11],"the":[12,49,54,64,67,78,91,94,130],"fifth":[13],"generation":[14],"of":[15,32,66,105,110,122,133],"wireless":[16],"communications":[17,37],"and":[18,39,84],"beyond.":[19],"The":[20],"is":[22,97,126],"promoted":[23],"especially":[25],"well":[26],"apt":[27],"to":[28,112],"tackle":[29],"future":[30],"challenges":[31],"high":[33,131],"mobility,":[34],"millimeter":[35],"wave":[36],"(mmWave)":[38],"massive":[40],"Multiple-Input":[41],"Multiple-Output":[42],"(MIMO).":[43],"In":[44],"this":[45,120],"paper":[46],"we":[47,71],"investigate":[48],"observed":[50,95],"channel":[51,96,107],"properties":[52],"in":[53,90,98,139],"OTFS":[55,92],"domain":[56],"from":[57,137],"mmWave":[58],"vehicular":[59],"crossroads":[60],"measurements.":[61],"To":[62],"assess":[63],"sparsity":[65],"resulting":[68,136],"delay-Doppler":[69],"channel,":[70],"use":[72],"Akaike's":[73],"information":[74],"criteria,":[75],"which":[76],"consider":[77],"trade-off":[79],"between":[80],"mean":[81],"squared":[82],"error":[83],"overfitting.":[85],"Our":[86,115],"analysis":[87,116],"shows":[88,118],"that":[89,119],"domain,":[93],"deed":[99],"sparse,":[100],"with":[101],"an":[102],"optimal":[103],"number":[104,132],"16":[106],"taps":[108],"out":[109],"up":[111],"1344":[113],"possible.":[114],"furthermore":[117],"property":[121],"observing":[123],"sparse":[124],"channels":[125],"caused":[127],"mainly":[128],"by":[129],"orthogonal":[134],"symbols":[135],"two":[140],"domains.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}