{"id":"https://openalex.org/W6944955760","doi":"https://doi.org/10.21227/3t22-mh80","title":"\"CSI Feedback Dataset Created by COST 2100 Model for LLM-Driven Purification\"","display_name":"\"CSI Feedback Dataset Created by COST 2100 Model for LLM-Driven Purification\"","publication_year":2025,"publication_date":"2025-07-14","ids":{"openalex":"https://openalex.org/W6944955760","doi":"https://doi.org/10.21227/3t22-mh80"},"language":"en","primary_location":{"id":"doi:10.21227/3t22-mh80","is_oa":true,"landing_page_url":"https://doi.org/10.21227/3t22-mh80","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/3t22-mh80","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yunsong Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yunsong Huang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5496000051498413},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5073000192642212},{"id":"https://openalex.org/keywords/stochastic-modelling","display_name":"Stochastic modelling","score":0.421099990606308},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.32249999046325684},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.30869999527931213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6080999970436096},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5496000051498413},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5073000192642212},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.421099990606308},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35519999265670776},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.32249999046325684},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.27469998598098755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/3t22-mh80","is_oa":true,"landing_page_url":"https://doi.org/10.21227/3t22-mh80","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/3t22-mh80","is_oa":true,"landing_page_url":"https://doi.org/10.21227/3t22-mh80","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[{"score":0.40002694725990295,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"\"The":[0],"COST":[1,34,59],"2100":[2,35,60],"channel":[3,10,61],"model":[4,11,45,62],"is":[5,37,63],"a":[6,54],"geome":[7],"try-based":[8],"stochastic":[9,17],"(GSCM)":[12],"that":[13],"can":[14],"reproduce":[15],"the":[16,33,58],"properties":[18],"of":[19,57],"MIMO":[20,49],"channels":[21],"over":[22],"time,":[23],"frequency,":[24],"and":[25,39,83],"space.":[26],"In":[27,51],"contrast":[28],"to":[29,44],"other":[30],"popular":[31],"GSCMs,":[32],"approach":[36],"generic":[38],"flexible,":[40],"making":[41],"it":[42],"suitable":[43],"multi-user":[46],"or":[47],"distributed":[48],"scenarios.":[50],"this":[52],"article":[53],"concise":[55],"overview":[56],"presented.":[64],"Main":[65],"concepts":[66],"are":[67,86],"described,":[68],"togeth":[69],"er":[70],"with":[71],"useful":[72],"implementation":[73],"guidelines.":[74],"Recent":[75],"developments,":[76],"including":[77],"dense":[78],"multipath":[79],"compo":[80],"nents,":[81],"polarization,":[82],"multi-link":[84],"aspects,":[85],"also":[87],"discussed.\"":[88]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}