{"id":"https://openalex.org/W4402158939","doi":"https://doi.org/10.1109/icc51166.2024.10623101","title":"A Reconstructed Autoencoder Design for CSI Processing in Massive MIMO Systems","display_name":"A Reconstructed Autoencoder Design for CSI Processing in Massive MIMO Systems","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4402158939","doi":"https://doi.org/10.1109/icc51166.2024.10623101"},"language":"en","primary_location":{"id":"doi:10.1109/icc51166.2024.10623101","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icc51166.2024.10623101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","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/A5011166802","display_name":"Venkataramani Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venkataramani Kumar","raw_affiliation_strings":["University of Dayton,Department of Electrical and Computer Engineering,Dayton,OH,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Dayton,Department of Electrical and Computer Engineering,Dayton,OH,USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093582554","display_name":"Dalyana Mercado-Perez","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dalyana Mercado-Perez","raw_affiliation_strings":["University of Wisconsin-Madison,Department of Electrical and Computer Engineering,Madison,WI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison,Department of Electrical and Computer Engineering,Madison,WI,USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398500","display_name":"Feng Ye","orcid":"https://orcid.org/0000-0003-0005-2073"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Ye","raw_affiliation_strings":["University of Wisconsin-Madison,Department of Electrical and Computer Engineering,Madison,WI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison,Department of Electrical and Computer Engineering,Madison,WI,USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057118326","display_name":"Rose Qingyang Hu","orcid":"https://orcid.org/0000-0002-1571-3631"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rose Qingyang Hu","raw_affiliation_strings":["Utah State University,Department of Electrical and Computer Engineering,Logan,UT,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utah State University,Department of Electrical and Computer Engineering,Logan,UT,USA","institution_ids":["https://openalex.org/I121980950"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073527013","display_name":"Yi Qian","orcid":"https://orcid.org/0000-0001-5671-916X"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Qian","raw_affiliation_strings":["University of Nebraska-Lincoln,Department of Electrical and Computer Engineering,Omaha,NE,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln,Department of Electrical and Computer Engineering,Omaha,NE,USA","institution_ids":["https://openalex.org/I114395901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1856,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49647223,"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":"5111","last_page":"5116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9991000294685364,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9991000294685364,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9955000281333923,"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/T11946","display_name":"Antenna Design and Optimization","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.711653470993042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6799418330192566},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.615708589553833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3044036030769348},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1595529317855835},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.15511220693588257},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.07337871193885803}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.711653470993042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6799418330192566},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.615708589553833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3044036030769348},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1595529317855835},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15511220693588257},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.07337871193885803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc51166.2024.10623101","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icc51166.2024.10623101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6090400021","display_name":null,"funder_award_id":"ECCS-2336234,ECCS-2139508,ECCS-2139520","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1997311471","https://openalex.org/W2146761479","https://openalex.org/W2166873702","https://openalex.org/W2563338756","https://openalex.org/W2616600784","https://openalex.org/W2784031720","https://openalex.org/W2810482148","https://openalex.org/W2941806810","https://openalex.org/W2959982203","https://openalex.org/W2962776410","https://openalex.org/W2963145597","https://openalex.org/W3003689553","https://openalex.org/W3012019435","https://openalex.org/W3023949510","https://openalex.org/W3040147542","https://openalex.org/W3157093784","https://openalex.org/W4312050602","https://openalex.org/W6730582038"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4220775285"],"abstract_inverted_index":{"Massive":[0],"multiple":[1,3],"input":[2],"output":[4],"(MIMO)":[5],"systems":[6],"are":[7],"integral":[8],"to":[9,14,17,81,121,131,144,175,181],"next-generation":[10],"wireless":[11],"technologies":[12],"due":[13,143],"their":[15],"ability":[16],"meet":[18],"the":[19,50,90,104,112,123,127,145,152,158,182],"growing":[20],"demands":[21],"of":[22,28,33],"throughput":[23],"and":[24,83,89],"support":[25],"a":[26,43,137,163],"plethora":[27],"applications.":[29],"An":[30],"efficient":[31],"operation":[32],"massive":[34],"MIMO":[35,48],"requires":[36],"accurate":[37],"channel":[38,101],"state":[39],"information":[40],"(CSI).":[41],"In":[42],"frequency":[44],"division":[45],"duplex":[46],"(FDD)":[47],"system,":[49],"base":[51,91],"station":[52],"can":[53,140,155],"rely":[54,99],"on":[55,100],"CSI":[56,65,85,170],"feedback":[57],"that":[58,125,151],"user":[59],"equipment":[60],"(UE)":[61],"estimates":[62],"from":[63,66],"downlink":[64],"orthogonal":[67],"pilot":[68,128],"sequences.":[69],"Recently,":[70],"artificial":[71],"intelligence":[72],"(AI),":[73],"i.e.,":[74],"deep":[75,184],"learning":[76,185],"approaches,":[77],"have":[78],"been":[79],"introduced":[80],"compress":[82],"reconstruct":[84],"matrices":[86],"at":[87,103],"UE":[88,105],"station,":[92],"respectively.":[93],"However,":[94],"these":[95,117],"existing":[96,183],"approaches":[97],"still":[98],"estimation":[102],"side,":[106],"which":[107],"introduces":[108],"additional":[109],"errors":[110],"in":[111,173],"autoencoder":[113,124],"design.":[114],"To":[115],"address":[116],"issues,":[118],"we":[119],"propose":[120],"implement":[122],"processes":[126],"sequences":[129],"directly":[130],"avoid":[132],"excessive":[133],"processing":[134],"errors.":[135],"Moreover,":[136],"higher":[138,164],"compression":[139,165],"be":[141],"achieved":[142],"lower":[146,176],"error.":[147],"Evaluation":[148],"results":[149],"demonstrate":[150],"proposed":[153],"scheme":[154],"significantly":[156],"reduce":[157],"communication":[159],"overhead":[160],"by":[161],"using":[162],"ratio":[166],"while":[167],"maintaining":[168],"high":[169],"reconstruction":[171],"performance":[172],"addition":[174],"bit":[177],"error":[178],"rates":[179],"compared":[180],"approach.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}