{"id":"https://openalex.org/W4315777611","doi":"https://doi.org/10.1109/gcwkshps56602.2022.10008753","title":"gMLPNet: Multilayer Perceptron for CSI Feedback in FDD Massive MIMO System","display_name":"gMLPNet: Multilayer Perceptron for CSI Feedback in FDD Massive MIMO System","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315777611","doi":"https://doi.org/10.1109/gcwkshps56602.2022.10008753"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps56602.2022.10008753","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcwkshps56602.2022.10008753","pdf_url":null,"source":{"id":"https://openalex.org/S4363605011","display_name":"2022 IEEE Globecom Workshops (GC Wkshps)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5030709115","display_name":"Chongwan Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongwan Ren","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,National Engineering Lab for Mobile Network Technologies,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,National Engineering Lab for Mobile Network Technologies,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018587643","display_name":"Qimei Cui","orcid":"https://orcid.org/0000-0003-1720-220X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qimei Cui","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,National Engineering Lab for Mobile Network Technologies,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,National Engineering Lab for Mobile Network Technologies,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033043187","display_name":"Xiangjun Li","orcid":"https://orcid.org/0000-0003-4996-1593"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjun Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,National Engineering Lab for Mobile Network Technologies,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,National Engineering Lab for Mobile Network Technologies,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087017321","display_name":"Xueqing Huang","orcid":"https://orcid.org/0000-0002-3677-5946"},"institutions":[{"id":"https://openalex.org/I4210104314","display_name":"New York Institute of Technology","ror":"https://ror.org/01bghzb51","country_code":"US","type":"education","lineage":["https://openalex.org/I4210104314"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xueqing Huang","raw_affiliation_strings":["New York Institute of Technology,Old Westbury,NY,11568"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York Institute of Technology,Old Westbury,NY,11568","institution_ids":["https://openalex.org/I4210104314"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100624765","display_name":"Xiaofeng Tao","orcid":"https://orcid.org/0000-0001-9518-1622"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Tao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,National Engineering Lab for Mobile Network Technologies,Beijing,China,100876"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,National Engineering Lab for Mobile Network Technologies,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":"30","issue":null,"first_page":"753","last_page":"758"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":1.0,"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":1.0,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9997000098228455,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8329704999923706},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.7609394788742065},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.750534176826477},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.7004337310791016},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5824277400970459},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5176463723182678},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5150434970855713},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4476293623447418},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.43340152502059937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3646566867828369},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3285515308380127},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.17140454053878784},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12568089365959167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8329704999923706},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.7609394788742065},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.750534176826477},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7004337310791016},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5824277400970459},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5176463723182678},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5150434970855713},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4476293623447418},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.43340152502059937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3646566867828369},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3285515308380127},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.17140454053878784},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12568089365959167},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps56602.2022.10008753","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcwkshps56602.2022.10008753","pdf_url":null,"source":{"id":"https://openalex.org/S4363605011","display_name":"2022 IEEE Globecom Workshops (GC Wkshps)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"},{"id":"https://openalex.org/F4320329515","display_name":"China Mobile Research Institute","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1938636034","https://openalex.org/W2099721949","https://openalex.org/W2120549790","https://openalex.org/W2141682101","https://openalex.org/W2317095563","https://openalex.org/W2336130271","https://openalex.org/W2899663614","https://openalex.org/W2921163933","https://openalex.org/W2963145597","https://openalex.org/W2971002981","https://openalex.org/W3003689553","https://openalex.org/W3045610411","https://openalex.org/W3105888187","https://openalex.org/W3110989801","https://openalex.org/W3170853162","https://openalex.org/W3183856285","https://openalex.org/W4210852766","https://openalex.org/W4226066314","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6755977528","https://openalex.org/W6796417832"],"related_works":["https://openalex.org/W2059045613","https://openalex.org/W884630482","https://openalex.org/W2025723618","https://openalex.org/W2552025594","https://openalex.org/W4211013851","https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814"],"abstract_inverted_index":{"In":[0,79],"the":[1,16,20,48,53,58,65,73,77,111,115,118,127,144,148,156,165,169,173,178,184],"massive":[2],"multi-input":[3],"multi-output":[4],"(MIMO)":[5],"communications":[6,166],"system,":[7],"channel":[8,66,116],"state":[9],"information":[10],"(CSI)":[11],"feedback":[12,25,31,35,40,49,55],"is":[13,99,151],"critical":[14],"to":[15,46,143],"system":[17],"performance.":[18],"Since":[19],"traditional":[21],"compressed":[22],"sensing-based":[23],"CSI":[24,39,102],"faced":[26],"challenges":[27],"such":[28],"as":[29,68,141],"low":[30],"accuracy":[32],"and":[33,159,176,180],"large":[34],"overhead,":[36],"deep":[37,60,94],"learning-based":[38,61],"approaches":[41],"have":[42],"recently":[43],"been":[44],"proposed":[45,100,128,149],"reduce":[47,164,177],"overhead":[50,167,182],"while":[51],"achieving":[52],"same":[54],"accuracy.":[56],"However,":[57],"existing":[59],"schemes":[62],"directly":[63],"process":[64,170],"matrix":[67],"an":[69,131],"image,":[70],"without":[71],"exploiting":[72],"physical":[74,112],"characteristics":[75,113],"of":[76,86,110,114,135,155,171,183],"channel.":[78],"this":[80],"paper,":[81],"based":[82],"on":[83],"a":[84,92],"variant":[85],"multilayer":[87],"perceptron":[88],"with":[89],"gating":[90],"(gMLP),":[91],"novel":[93],"learning":[95],"scheme":[96],"named":[97],"gMLPNet":[98,129,150],"for":[101],"feedback.":[103],"This":[104],"method":[105],"can":[106,163],"make":[107],"full":[108],"use":[109],"in":[117,153,168],"angular":[119],"delay":[120],"domain.":[121],"The":[122],"simulation":[123],"results":[124],"show":[125],"that":[126],"achieves":[130],"average":[132],"performance":[133],"improvement":[134],"28.18%":[136],"at":[137],"all":[138],"compression":[139],"rates,":[140],"compared":[142],"state-of-the-art":[145],"method.":[146],"Moreover,":[147],"lightweight":[152],"terms":[154],"model":[157],"parameters":[158],"computational":[160],"complexity,":[161],"which":[162],"delivering":[172],"trained":[174],"model,":[175],"storage":[179],"computing":[181],"user":[185],"devices.":[186]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}