{"id":"https://openalex.org/W7114926922","doi":"https://doi.org/10.1109/jsac.2025.3643823","title":"Prompt-Enabled Large AI Models for CSI Feedback","display_name":"Prompt-Enabled Large AI Models for CSI Feedback","publication_year":2025,"publication_date":"2025-12-12","ids":{"openalex":"https://openalex.org/W7114926922","doi":"https://doi.org/10.1109/jsac.2025.3643823"},"language":null,"primary_location":{"id":"doi:10.1109/jsac.2025.3643823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2025.3643823","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","raw_type":"journal-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":null,"display_name":"Jiajia Guo","orcid":"https://orcid.org/0000-0002-6220-2295"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajia Guo","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6220-2295","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yiming Cui","orcid":"https://orcid.org/0000-0003-1644-6499"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Cui","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-1644-6499","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chao-Kai Wen","orcid":"https://orcid.org/0000-0001-5952-232X"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chao-Kai Wen","raw_affiliation_strings":["Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-5952-232X","affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shi Jin","orcid":"https://orcid.org/0000-0003-0271-6021"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Jin","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0271-6021","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.564,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.98561142,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"44","issue":null,"first_page":"2654","last_page":"2668"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.6640999913215637,"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":0.6640999913215637,"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":0.13989999890327454,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.07930000126361847,"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/leverage","display_name":"Leverage (statistics)","score":0.7315999865531921},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.498199999332428},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.450300008058548},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.4374000132083893},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.43689998984336853},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.3944000005722046},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.3172999918460846},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.3001999855041504}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.885699987411499},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7315999865531921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515000224113464},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.498199999332428},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49630001187324524},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.450300008058548},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.4374000132083893},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43689998984336853},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40230000019073486},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3944000005722046},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3172999918460846},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C3018651601","wikidata":"https://www.wikidata.org/wiki/Q183635","display_name":"Feedback control","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsac.2025.3643823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2025.3643823","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1003364742","display_name":null,"funder_award_id":"62261160576","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2983292947","display_name":null,"funder_award_id":"NSTC 114-2221-E-110-031-MY3","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"},{"id":"https://openalex.org/G3363585228","display_name":null,"funder_award_id":"BE2023022","funder_id":"https://openalex.org/F4320335956","funder_display_name":"Key Technologies Research and Development Program of Guangzhou"},{"id":"https://openalex.org/G5426898190","display_name":null,"funder_award_id":"2242023K5003","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7101942999","display_name":null,"funder_award_id":"BE2023022-1","funder_id":"https://openalex.org/F4320335956","funder_display_name":"Key Technologies Research and Development Program of Guangzhou"},{"id":"https://openalex.org/G8701919981","display_name":null,"funder_award_id":"62401640","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F2461203286","display_name":"National Science and Technology Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323229","display_name":"National Central University","ror":"https://ror.org/00944ve71"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320335956","display_name":"Key Technologies Research and Development Program of Guangzhou","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2094655360","https://openalex.org/W2963145597","https://openalex.org/W2973921813","https://openalex.org/W3133450183","https://openalex.org/W3141927472","https://openalex.org/W3170956499","https://openalex.org/W3205718659","https://openalex.org/W3216840972","https://openalex.org/W4205806546","https://openalex.org/W4226067757","https://openalex.org/W4312050602","https://openalex.org/W4312557000","https://openalex.org/W4312667604","https://openalex.org/W4312743881","https://openalex.org/W4319083882","https://openalex.org/W4367595583","https://openalex.org/W4384080244","https://openalex.org/W4386242147","https://openalex.org/W4387805535","https://openalex.org/W4387870646","https://openalex.org/W4387917827","https://openalex.org/W4390331420","https://openalex.org/W4390496060","https://openalex.org/W4390604116","https://openalex.org/W4392939553","https://openalex.org/W4393062376","https://openalex.org/W4394627320","https://openalex.org/W4395069483","https://openalex.org/W4396988240","https://openalex.org/W4399665795","https://openalex.org/W4400188118","https://openalex.org/W4400276469","https://openalex.org/W4401211665","https://openalex.org/W4402157174","https://openalex.org/W4402450948","https://openalex.org/W4404576599","https://openalex.org/W4404918643","https://openalex.org/W4405440090","https://openalex.org/W4405598711","https://openalex.org/W4409310950","https://openalex.org/W4410491937","https://openalex.org/W4410589231"],"related_works":[],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"(AI)":[2],"has":[3],"emerged":[4],"as":[5,109,121],"a":[6,25,78,122],"promising":[7],"tool":[8],"for":[9,84],"channel":[10,104,113],"state":[11],"information":[12],"(CSI)":[13],"feedback.":[14,86],"While":[15],"recent":[16],"research":[17],"primarily":[18],"focuses":[19],"on":[20,24,73,96],"improving":[21],"feedback":[22,37,56,143],"accuracy":[23,144],"specific":[26],"dataset":[27],"through":[28,45],"novel":[29],"architectures,":[30],"the":[31,43,103,110,116,126,137],"underlying":[32],"mechanism":[33,44],"of":[34,112],"AI-based":[35],"CSI":[36,85],"remains":[38],"unclear.":[39],"This":[40],"study":[41],"explores":[42],"analyzing":[46],"performance":[47,57,147],"across":[48],"diverse":[49],"datasets,":[50],"with":[51],"findings":[52],"suggesting":[53],"that":[54,136],"superior":[55],"stems":[58],"from":[59,99],"AI":[60,81],"models\u2019":[61],"strong":[62],"fitting":[63],"capabilities":[64],"and":[65,93,145],"their":[66],"ability":[67],"to":[68,128],"leverage":[69],"environmental":[70],"knowledge.":[71],"Building":[72],"these":[74],"findings,":[75],"we":[76],"propose":[77],"prompt-enabled":[79,139],"large":[80],"model":[82],"(LAM)":[83],"The":[87],"LAM":[88,140],"employs":[89],"powerful":[90],"Transformer":[91],"blocks":[92],"is":[94,119],"trained":[95],"extensive":[97],"datasets":[98],"various":[100],"scenarios.":[101,155],"Meanwhile,":[102],"distribution":[105],"(environmental":[106],"knowledge),":[107],"represented":[108],"mean":[111],"magnitude":[114],"in":[115,153],"angular-delay":[117],"domain,":[118],"incorporated":[120],"scenario-specific":[123],"prompt":[124],"within":[125],"decoder":[127],"further":[129],"enhance":[130],"reconstruction":[131],"quality.":[132],"Simulation":[133],"results":[134],"confirm":[135],"proposed":[138],"significantly":[141],"improves":[142],"generalization":[146],"while":[148],"reducing":[149],"data":[150],"collection":[151],"requirements":[152],"new":[154]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-12T00:00:00"}