{"id":"https://openalex.org/W4406266269","doi":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757633","title":"Student-T Prior Sparse Bayesian Learning for Improved Channel Estimation in OTFS Systems","display_name":"Student-T Prior Sparse Bayesian Learning for Improved Channel Estimation in OTFS Systems","publication_year":2024,"publication_date":"2024-10-07","ids":{"openalex":"https://openalex.org/W4406266269","doi":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757633"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2024-fall63153.2024.10757633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)","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/A5090972879","display_name":"Wenduo Qiu","orcid":"https://orcid.org/0000-0002-8417-8118"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenduo Qiu","raw_affiliation_strings":["Southwest Jiaotong University,School of Information Science and Technology,Chengdu,China,611756"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Information Science and Technology,Chengdu,China,611756","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372780","display_name":"Xiaoxu Zhang","orcid":"https://orcid.org/0000-0002-6631-6177"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxu Zhang","raw_affiliation_strings":["Southwest Jiaotong University,School of Information Science and Technology,Chengdu,China,611756"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Information Science and Technology,Chengdu,China,611756","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061744244","display_name":"George K. Karagiannidis","orcid":"https://orcid.org/0000-0001-8810-0345"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George K. Karagiannidis","raw_affiliation_strings":["Aristotle University of Thessaloniki,Thessaloniki,Greece"],"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348552","display_name":"Li Hao","orcid":"https://orcid.org/0000-0002-1562-3863"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Hao","raw_affiliation_strings":["Southwest Jiaotong University,School of Information Science and Technology,Chengdu,China,611756"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Information Science and Technology,Chengdu,China,611756","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037292846","display_name":"Ming Xiao","orcid":"https://orcid.org/0000-0002-5407-0835"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ming Xiao","raw_affiliation_strings":["Royal Institute of Technology,Department of Communication Theory,Stockholm,Sweden,10044"],"affiliations":[{"raw_affiliation_string":"Royal Institute of Technology,Department of Communication Theory,Stockholm,Sweden,10044","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057469477","display_name":"Xueping Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueping Lan","raw_affiliation_strings":["Southwest Jiaotong University,School of Information Science and Technology,Chengdu,China,611756"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Information Science and Technology,Chengdu,China,611756","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5090972879"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.2225,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57151863,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10767","display_name":"Advanced Photonic Communication Systems","score":0.9851999878883362,"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/T10767","display_name":"Advanced Photonic Communication Systems","score":0.9851999878883362,"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/T11873","display_name":"PAPR reduction in OFDM","score":0.984499990940094,"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/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.9793000221252441,"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/computer-science","display_name":"Computer science","score":0.6453624367713928},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6197443604469299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48516255617141724},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4836669862270355},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4272230863571167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37788161635398865},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06902292370796204}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6453624367713928},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6197443604469299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48516255617141724},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4836669862270355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4272230863571167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37788161635398865},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06902292370796204}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2024-fall63153.2024.10757633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Orthogonal":[0],"Time-Frequency-Space":[1],"(OTFS)":[2],"modulation":[3],"can":[4,94],"effectively":[5],"suppress":[6],"the":[7,17,20,32,52,57,61,64,76,85,97,103,111,121,124,131,144,148],"effects":[8],"of":[9,22,34,63,78,115,123,143],"Doppler":[10],"shift":[11],"in":[12],"high-speed":[13],"mobile":[14],"scenarios.":[15],"At":[16],"same":[18],"time,":[19],"accuracy":[21,114],"OTFS":[23,53,65,116,125],"channel":[24,54,117],"estimation":[25,118],"is":[26],"an":[27],"important":[28],"factor":[29],"that":[30,130],"affects":[31],"performance":[33],"OTFS.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,68,101],"propose":[40,69,102],"a":[41,70],"Sparse":[42],"Bayesian":[43],"Learning":[44],"(SBL)":[45],"algorithm":[46,108],"to":[47,74,109],"quickly":[48],"and":[49,60,113,141],"accurately":[50],"estimate":[51],"by":[55,119],"combining":[56],"pilot":[58,72,82,86],"pattern":[59,73,87],"sparsity":[62,122],"channel.":[66,126],"First,":[67],"new":[71],"prevent":[75],"contamination":[77],"information":[79],"symbols":[80],"on":[81],"symbols.":[83],"Since":[84],"uses":[88],"only":[89],"partial":[90],"guard":[91],"symbols,":[92],"it":[93],"also":[95],"improve":[96,110],"spectral":[98],"efficiency.":[99],"Then,":[100],"Student-T":[104],"prior":[105],"SBL":[106],"(STSBL)":[107],"speed":[112],"exploiting":[120],"Simulation":[127],"results":[128],"show":[129],"normalized":[132],"mean":[133],"squared":[134],"error":[135,138],"(NMSE),":[136],"bit":[137],"rate":[139],"(BER),":[140],"throughput":[142],"proposed":[145],"scheme":[146],"outperform":[147],"benchmark":[149],"schemes.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
