{"id":"https://openalex.org/W4409641089","doi":"https://doi.org/10.1109/mwc.013.2400339","title":"A New Approach to Tackle Channel Uncertainty with Limited Data Samples","display_name":"A New Approach to Tackle Channel Uncertainty with Limited Data Samples","publication_year":2025,"publication_date":"2025-04-21","ids":{"openalex":"https://openalex.org/W4409641089","doi":"https://doi.org/10.1109/mwc.013.2400339"},"language":"en","primary_location":{"id":"doi:10.1109/mwc.013.2400339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwc.013.2400339","pdf_url":null,"source":{"id":"https://openalex.org/S146764194","display_name":"IEEE Wireless Communications","issn_l":"1536-1284","issn":["1536-1284","1558-0687"],"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 Wireless 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":"https://openalex.org/A5114095432","display_name":"Shiva Acharya","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiva Acharya","raw_affiliation_strings":["Virginia Tech,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech,USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004186620","display_name":"Shaoran Li","orcid":"https://orcid.org/0000-0002-2648-5478"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaoran Li","raw_affiliation_strings":["NVIDIA Corp,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA Corp,USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029191719","display_name":"Yubo Wu","orcid":"https://orcid.org/0000-0001-7731-4989"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yubo Wu","raw_affiliation_strings":["Virginia Tech,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech,USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084762909","display_name":"Nan Jiang","orcid":"https://orcid.org/0000-0003-4231-2179"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I2800444561","display_name":"Atlanta Technical College","ror":"https://ror.org/01s3vfp47","country_code":"US","type":"education","lineage":["https://openalex.org/I2800444561"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Jiang","raw_affiliation_strings":["Georgia Tech,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Tech,USA","institution_ids":["https://openalex.org/I2800444561","https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048142877","display_name":"Weijun Xie","orcid":"https://orcid.org/0000-0001-5157-1194"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I2800444561","display_name":"Atlanta Technical College","ror":"https://ror.org/01s3vfp47","country_code":"US","type":"education","lineage":["https://openalex.org/I2800444561"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weijun Xie","raw_affiliation_strings":["Georgia Tech,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Tech,USA","institution_ids":["https://openalex.org/I2800444561","https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001879281","display_name":"Wenjing Lou","orcid":"https://orcid.org/0000-0002-2421-4623"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenjing Lou","raw_affiliation_strings":["Virginia Tech,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech,USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059824798","display_name":"Y. Thomas Hou","orcid":"https://orcid.org/0000-0003-3716-5768"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Thomas Hou","raw_affiliation_strings":["Virginia Tech,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech,USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9191,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87629616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"32","issue":"5","first_page":"179","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.7760999798774719,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.7760999798774719,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12560","display_name":"Nuclear Engineering Thermal-Hydraulics","score":0.7597000002861023,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12423","display_name":"Software Reliability and Analysis Research","score":0.7117000222206116,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8360841870307922},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4824017286300659},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3422359228134155},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32640349864959717}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8360841870307922},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4824017286300659},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3422359228134155},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32640349864959717}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mwc.013.2400339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwc.013.2400339","pdf_url":null,"source":{"id":"https://openalex.org/S146764194","display_name":"IEEE Wireless Communications","issn_l":"1536-1284","issn":["1536-1284","1558-0687"],"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 Wireless Communications","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-165631","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-165631","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5299999713897705,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G373384361","display_name":null,"funder_award_id":"CNS-2312447,CMMI-2246414","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F328363578","display_name":"Commonwealth Cyber Initiative","ror":null},{"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":11,"referenced_works":["https://openalex.org/W1557486844","https://openalex.org/W2009171710","https://openalex.org/W2014648333","https://openalex.org/W2042599231","https://openalex.org/W2049606892","https://openalex.org/W2103586998","https://openalex.org/W2987963462","https://openalex.org/W3037067271","https://openalex.org/W3100120649","https://openalex.org/W4225753946","https://openalex.org/W4405104047"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Channel":[0],"state":[1],"information":[2],"(CSI)":[3],"is":[4,20,103,114,118,124,164],"a":[5,60,86,107,125,146,153,175,224],"key":[6],"realtime":[7],"parameter":[8],"for":[9,97,192],"resource":[10,99,225],"allocation":[11,226],"in":[12],"wireless":[13],"networks.":[14],"However,":[15,65],"CSI":[16,34,51,53,194,196,229],"acquisition":[17],"or":[18,39],"estimation":[19],"known":[21],"to":[22,27,166,222],"be":[23],"imperfect":[24],"and":[25,29,58,187,206],"bound":[26],"errors":[28],"uncertainties.":[30],"Traditional":[31],"methods":[32],"addressing":[33],"rely":[35],"on":[36,180],"either":[37],"model-based":[38],"model-free":[40,87],"approaches,":[41],"each":[42],"with":[43],"its":[44,208],"limitations.":[45],"A":[46],"model-":[47],"based":[48,179],"approach":[49,88,102,134,149,163,204,218],"assumes":[50],"(or":[52,195],"error)":[54],"follows":[55],"certain":[56],"distributions":[57,191],"develops":[59],"solution":[61],"following":[62],"this":[63,133,142,162,202,217],"assumption.":[64],"the":[66,76,83,168,181,193,214],"assumed":[67],"model":[68],"may":[69],"not":[70,136],"accurately":[71],"characterize":[72],"reality,":[73],"especially":[74],"as":[75,93],"operating":[77],"environment":[78],"changes":[79],"over":[80],"time.":[81],"On":[82],"other":[84],"hand,":[85],"uses":[89],"data-driven":[90],"techniques":[91],"such":[92],"machine":[94],"learning":[95],"(ML)":[96],"real-time":[98],"allocation.":[100],"This":[101],"only":[104,151],"effective":[105],"when":[106,122],"large":[108],"set":[109,130,155,183],"of":[110,128,156,170,184,216],"high-quality":[111],"training":[112],"data":[113,129,157,185],"available.":[115,131],"Its":[116],"convergence":[117],"also":[119],"an":[120],"issue":[121],"there":[123],"limited":[126],"amount":[127],"Further,":[132],"does":[135],"offer":[137],"any":[138,190],"performance":[139,176],"guarantee.":[140],"In":[141],"article,":[143],"we":[144],"introduce":[145],"new":[147,203],"\"small-data\"":[148],"that":[150,161],"requires":[152],"small":[154,182],"samples.":[158],"We":[159,198,211],"show":[160],"able":[165],"combine":[167],"benefits":[169],"both":[171],"approaches":[172],"--":[173],"offering":[174],"guarantee":[177],"solely":[178],"samples":[186],"without":[188],"assuming":[189],"error).":[197],"will":[199],"describe":[200],"how":[201],"works":[205],"discuss":[207],"theoretical":[209],"underpinning.":[210],"further":[212],"demonstrate":[213],"efficacy":[215],"by":[219],"applying":[220],"it":[221],"solve":[223],"problem":[227],"involving":[228],"uncertainty.":[230]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}