{"id":"https://openalex.org/W3209902975","doi":"https://doi.org/10.1109/pimrc50174.2021.9569618","title":"A Kalman-based Autoencoder Framework for End-to-End Communication Systems","display_name":"A Kalman-based Autoencoder Framework for End-to-End Communication Systems","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3209902975","doi":"https://doi.org/10.1109/pimrc50174.2021.9569618","mag":"3209902975"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc50174.2021.9569618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc50174.2021.9569618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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/A5103570941","display_name":"Bin Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Hu","raw_affiliation_strings":["Wireless Technology Laboratory, Huawei Technologies,Hangzhou,China","Wireless Technology Laboratory, Huawei Technologies, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Wireless Technology Laboratory, Huawei Technologies,Hangzhou,China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Wireless Technology Laboratory, Huawei Technologies, Hangzhou, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370523","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0002-9849-7558"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["Wireless Technology Laboratory, Huawei Technologies,Hangzhou,China","Wireless Technology Laboratory, Huawei Technologies, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Wireless Technology Laboratory, Huawei Technologies,Hangzhou,China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Wireless Technology Laboratory, Huawei Technologies, Hangzhou, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418675","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0003-2779-9978"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Xu","raw_affiliation_strings":["Wireless Technology Laboratory, Huawei Technologies,Hangzhou,China","Wireless Technology Laboratory, Huawei Technologies, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Wireless Technology Laboratory, Huawei Technologies,Hangzhou,China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Wireless Technology Laboratory, Huawei Technologies, Hangzhou, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018369917","display_name":"Gongzheng Zhang","orcid":"https://orcid.org/0000-0002-4564-4243"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongzheng Zhang","raw_affiliation_strings":["Wireless Technology Laboratory, Huawei Technologies,Hangzhou,China","Wireless Technology Laboratory, Huawei Technologies, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Wireless Technology Laboratory, Huawei Technologies,Hangzhou,China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Wireless Technology Laboratory, Huawei Technologies, Hangzhou, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385070","display_name":"Rong Li","orcid":"https://orcid.org/0000-0003-1040-1484"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Li","raw_affiliation_strings":["Wireless Technology Laboratory, Huawei Technologies,Hangzhou,China","Wireless Technology Laboratory, Huawei Technologies, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Wireless Technology Laboratory, Huawei Technologies,Hangzhou,China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"Wireless Technology Laboratory, Huawei Technologies, Hangzhou, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103570941"],"corresponding_institution_ids":["https://openalex.org/I2250955327"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56176057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9944999814033508,"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/autoencoder","display_name":"Autoencoder","score":0.7301119565963745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6944811344146729},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.6610592603683472},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6138380765914917},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5726739764213562},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5532445907592773},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.49767425656318665},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4874708652496338},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.42268267273902893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41489237546920776},{"id":"https://openalex.org/keywords/invariant-extended-kalman-filter","display_name":"Invariant extended Kalman filter","score":0.4110637903213501},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3874870538711548},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.37908631563186646},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.3789500594139099},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3172494173049927},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.21420061588287354},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1454758644104004}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7301119565963745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6944811344146729},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6610592603683472},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6138380765914917},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5726739764213562},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5532445907592773},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.49767425656318665},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4874708652496338},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.42268267273902893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41489237546920776},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.4110637903213501},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3874870538711548},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.37908631563186646},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.3789500594139099},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3172494173049927},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.21420061588287354},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1454758644104004},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc50174.2021.9569618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc50174.2021.9569618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W757513444","https://openalex.org/W1550319016","https://openalex.org/W1749494163","https://openalex.org/W1995573301","https://openalex.org/W2158984235","https://openalex.org/W2221583060","https://openalex.org/W2579959185","https://openalex.org/W2596883012","https://openalex.org/W2734408173","https://openalex.org/W2736068844","https://openalex.org/W2962964572","https://openalex.org/W2963385530","https://openalex.org/W2989563566","https://openalex.org/W3003784105","https://openalex.org/W3006312629","https://openalex.org/W3192683634","https://openalex.org/W4297824662","https://openalex.org/W6622145776","https://openalex.org/W6734629363","https://openalex.org/W6771084699","https://openalex.org/W6773787650","https://openalex.org/W6800155109"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2146473084","https://openalex.org/W2099812103","https://openalex.org/W2055927355","https://openalex.org/W2073378780","https://openalex.org/W2103813964"],"abstract_inverted_index":{"It":[0],"is":[1],"a":[2,37,49,53,66,78,123],"promising":[3],"technology":[4],"to":[5,15,29,41,70,116],"replace":[6],"traditional":[7],"transceiver":[8],"design":[9],"with":[10,99],"neural":[11],"network":[12],"(NN)-based":[13],"autoencoder":[14,68],"realize":[16],"end-to-end":[17],"communication.":[18],"The":[19],"joint":[20],"optimization":[21],"of":[22,85,142],"multiple":[23],"blocks":[24],"helps":[25],"the":[26,46,82,86,91,97,100,119],"communication":[27],"system":[28],"achieve":[30,71],"better":[31],"performance.":[32],"However,":[33],"this":[34,62],"approach":[35],"needs":[36],"differentiable":[38],"channel":[39,51],"modeling":[40],"train":[42],"both":[43,131],"NNs":[44],"at":[45,81],"transceiver.":[47],"For":[48],"non-differentiable":[50],"in":[52,130],"real":[54],"scenario,":[55],"gradient":[56,72],"backpropagation":[57,75],"cannot":[58],"be":[59],"performed.":[60],"In":[61],"paper,":[63],"we":[64],"propose":[65],"Kalman-based":[67],"framework":[69,121],"estimation":[73],"and":[74,110,127,137],"by":[76,96],"adding":[77],"control":[79],"layer":[80,84],"last":[83],"encoder":[87],"NN,":[88],"which":[89],"combines":[90],"rich":[92],"feature":[93],"representations":[94],"learned":[95],"NN":[98],"Bayesian":[101],"filter":[102],"method":[103],"based":[104],"on":[105],"Extended":[106],"Kalman":[107,112],"Filter":[108,113],"(EKF)":[109],"Cubature":[111],"(CKF).":[114],"According":[115],"simulation":[117],"results,":[118],"proposed":[120],"has":[122],"fast":[124],"convergence":[125],"rate":[126],"strong":[128],"robustness":[129],"additive":[132],"white":[133],"Gaussian":[134],"noise":[135],"(AWGN)":[136],"Rayleigh":[138],"block":[139],"fading":[140],"(RBF)":[141],"perturbation":[143],"scenarios.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
