{"id":"https://openalex.org/W4408325870","doi":"https://doi.org/10.1109/globecom52923.2024.10901113","title":"AE-DENet: Enhancement for Deep Learning-based Channel Estimation in OFDM Systems","display_name":"AE-DENet: Enhancement for Deep Learning-based Channel Estimation in OFDM Systems","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4408325870","doi":"https://doi.org/10.1109/globecom52923.2024.10901113"},"language":"en","primary_location":{"id":"doi:10.1109/globecom52923.2024.10901113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","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/A5099087834","display_name":"Ephrem Fola","orcid":"https://orcid.org/0009-0001-9238-3269"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ephrem Fola","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013430865","display_name":"Yang Luo","orcid":"https://orcid.org/0009-0007-1168-9973"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Luo","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038985671","display_name":"Chunbo Luo","orcid":"https://orcid.org/0000-0002-9860-2901"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunbo Luo","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5099087834"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.7724,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78870908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1449","last_page":"1454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9902999997138977,"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":0.9902999997138977,"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":0.9778000116348267,"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/T11873","display_name":"PAPR reduction in OFDM","score":0.967199981212616,"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/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.8236461877822876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6347626447677612},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6233945488929749},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4426562786102295},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.43494337797164917},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.40217703580856323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34501391649246216},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2566663920879364},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16499993205070496}],"concepts":[{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.8236461877822876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6347626447677612},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6233945488929749},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4426562786102295},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.43494337797164917},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.40217703580856323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34501391649246216},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2566663920879364},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16499993205070496},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom52923.2024.10901113","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2897042325","https://openalex.org/W2959557487","https://openalex.org/W2963190722","https://openalex.org/W2963836746","https://openalex.org/W2964121960","https://openalex.org/W2996740027","https://openalex.org/W2996956941","https://openalex.org/W3012019435","https://openalex.org/W3035974859","https://openalex.org/W3049310985","https://openalex.org/W4285287476","https://openalex.org/W4302363874","https://openalex.org/W4321770533","https://openalex.org/W4323520903","https://openalex.org/W4375929069","https://openalex.org/W6809796335"],"related_works":["https://openalex.org/W2792339401","https://openalex.org/W2530747331","https://openalex.org/W3097525855","https://openalex.org/W2125564215","https://openalex.org/W4391741972","https://openalex.org/W1986382998","https://openalex.org/W2517776947","https://openalex.org/W2084482193","https://openalex.org/W2972611783","https://openalex.org/W4243590696"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"(DL)-based":[2],"methods":[3,21,87],"have":[4],"demonstrated":[5],"remarkable":[6],"achievements":[7],"in":[8,48,85,124],"addressing":[9],"orthogonal":[10],"frequency":[11],"division":[12],"multiplexing":[13],"(OFDM)":[14],"channel":[15,69,120,145,161],"estimation":[16,70,81],"challenges.":[17],"However,":[18],"existing":[19,67],"DL-based":[20,68,86,144],"mainly":[22],"rely":[23],"on":[24,74],"separate":[25],"real":[26,101],"and":[27,42,102,105,163],"imaginary":[28,103],"inputs":[29],"while":[30],"ignoring":[31],"the":[32,36,64,76,100,109,127,135,139,152],"inherent":[33],"correlation":[34],"between":[35],"two":[37],"streams,":[38],"such":[39],"as":[40],"amplitude":[41],"phase":[43],"information":[44],"that":[45,134],"are":[46],"fundamental":[47],"communication":[49],"signal":[50],"processing.":[51],"This":[52],"paper":[53],"proposes":[54],"AE-DENet,":[55],"a":[56,90],"novel":[57],"autoencoder(AE)-based":[58],"data":[59,92],"enhancement":[60,93],"network":[61],"to":[62,113,157,160],"improve":[63],"performance":[65,140],"of":[66,126,141],"methods.":[71],"AE-DENet":[72],"focuses":[73],"enriching":[75],"classic":[77],"least":[78],"square":[79,129],"(LS)":[80],"input":[82,117],"commonly":[83],"used":[84],"by":[88],"employing":[89],"learning-based":[91],"method,":[94],"which":[95],"extracts":[96],"interaction":[97],"features":[98],"from":[99],"components":[104],"fuses":[106],"them":[107],"with":[108,147],"original":[110],"real/imaginary":[111],"streams":[112],"generate":[114],"an":[115],"enhanced":[116],"for":[118],"better":[119],"inference.":[121],"Experimental":[122],"findings":[123],"terms":[125],"mean":[128],"error":[130],"(MSE)":[131],"results":[132],"demonstrate":[133],"proposed":[136,153],"method":[137],"enhances":[138],"all":[142],"state-of-the-art":[143],"estimators":[146],"negligible":[148],"added":[149],"complexity.":[150],"Furthermore,":[151],"approach":[154],"is":[155],"shown":[156],"be":[158],"robust":[159],"variations":[162],"high":[164],"user":[165],"mobility.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}