{"id":"https://openalex.org/W3197543058","doi":"https://doi.org/10.1109/tcomm.2021.3107947","title":"Deep Learning Based Channel Covariance Matrix Estimation With User Location and Scene Images","display_name":"Deep Learning Based Channel Covariance Matrix Estimation With User Location and Scene Images","publication_year":2021,"publication_date":"2021-08-26","ids":{"openalex":"https://openalex.org/W3197543058","doi":"https://doi.org/10.1109/tcomm.2021.3107947","mag":"3197543058"},"language":"en","primary_location":{"id":"doi:10.1109/tcomm.2021.3107947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2021.3107947","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Transactions on 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/A5046222939","display_name":"Weihua Xu","orcid":"https://orcid.org/0000-0002-9335-2739"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weihua Xu","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Institute for Artificial Intelligence, Tsinghua University (THUAI), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9335-2739","affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Institute for Artificial Intelligence, Tsinghua University (THUAI), Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050402661","display_name":"Feifei Gao","orcid":"https://orcid.org/0000-0001-8896-352X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Gao","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Institute for Artificial Intelligence, Tsinghua University (THUAI), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8896-352X","affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Institute for Artificial Intelligence, Tsinghua University (THUAI), Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434769","display_name":"Jianhua Zhang","orcid":"https://orcid.org/0000-0002-6492-3846"},"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":"Jianhua Zhang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6492-3846","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101459082","display_name":"Xiaoming Tao","orcid":"https://orcid.org/0000-0002-8763-9338"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Tao","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8763-9338","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003243464","display_name":"Ahmed Alkhateeb","orcid":"https://orcid.org/0000-0001-5648-1569"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Alkhateeb","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA"],"raw_orcid":"https://orcid.org/0000-0001-5648-1569","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046222939"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.7451,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.90762834,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"69","issue":"12","first_page":"8145","last_page":"8158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.7308314442634583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6315521001815796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5727167129516602},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5494574308395386},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5478318929672241},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.47343090176582336},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.44844821095466614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4384404718875885},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42217379808425903},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.41777941584587097},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3375371992588043},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2660815715789795},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25374507904052734},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2029181718826294},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20112252235412598}],"concepts":[{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.7308314442634583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6315521001815796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5727167129516602},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5494574308395386},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5478318929672241},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.47343090176582336},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.44844821095466614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4384404718875885},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42217379808425903},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.41777941584587097},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3375371992588043},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2660815715789795},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25374507904052734},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2029181718826294},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20112252235412598},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcomm.2021.3107947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2021.3107947","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G3091973966","display_name":null,"funder_award_id":"61925102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G463011087","display_name":null,"funder_award_id":"2018AAA0102401","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8114187719","display_name":null,"funder_award_id":"61831013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1979154650","https://openalex.org/W2004294022","https://openalex.org/W2100622035","https://openalex.org/W2104074482","https://openalex.org/W2111953900","https://openalex.org/W2124801067","https://openalex.org/W2128865660","https://openalex.org/W2130134073","https://openalex.org/W2147408679","https://openalex.org/W2156960709","https://openalex.org/W2160761744","https://openalex.org/W2194775991","https://openalex.org/W2550553598","https://openalex.org/W2555593130","https://openalex.org/W2555618208","https://openalex.org/W2739778833","https://openalex.org/W2791639158","https://openalex.org/W2884585870","https://openalex.org/W2885140458","https://openalex.org/W2914111477","https://openalex.org/W2951145066","https://openalex.org/W2963290405","https://openalex.org/W2963304087","https://openalex.org/W2963532871","https://openalex.org/W2963726076","https://openalex.org/W2964121960","https://openalex.org/W2964199920","https://openalex.org/W2967981090","https://openalex.org/W2968634732","https://openalex.org/W2970203070","https://openalex.org/W2972072389","https://openalex.org/W3008026851","https://openalex.org/W3013594094","https://openalex.org/W3018241135","https://openalex.org/W3038755994","https://openalex.org/W3039683021","https://openalex.org/W3046928693","https://openalex.org/W3098782124","https://openalex.org/W3181363568","https://openalex.org/W4287870389","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6753412334","https://openalex.org/W6773228540","https://openalex.org/W6780097876"],"related_works":["https://openalex.org/W2126916073","https://openalex.org/W2921280830","https://openalex.org/W2887132723","https://openalex.org/W2038723318","https://openalex.org/W2572601863","https://openalex.org/W1679731869","https://openalex.org/W1670628120","https://openalex.org/W3041177925","https://openalex.org/W1976318097","https://openalex.org/W2886934452"],"abstract_inverted_index":{"Channel":[0],"covariance":[1],"matrix":[2],"(CCM)":[3],"is":[4,27,48,75,83,103,126],"one":[5],"critical":[6],"parameter":[7],"for":[8],"designing":[9],"the":[10,20,31,34,42,51,71,88,93,113,119,122,135,143],"communications":[11],"systems.":[12],"In":[13],"this":[14],"paper,":[15],"a":[16,56],"novel":[17],"framework":[18],"of":[19,33,95],"deep":[21,57],"learning":[22],"(DL)":[23],"based":[24],"CCM":[25,47,63],"estimation":[26,73,124],"proposed":[28,136],"that":[29,111,133],"exploits":[30],"perception":[32],"transmission":[35],"environment":[36],"without":[37],"any":[38],"channel":[39,145],"sample":[40],"or":[41],"pilot":[43],"signals.":[44],"Specifically,":[45],"as":[46,77,128],"affected":[49],"by":[50],"user\u2019s":[52],"movement,":[53],"we":[54,106],"design":[55],"neural":[58],"network":[59],"(DNN)":[60],"to":[61,86,117],"predict":[62,118],"from":[64],"user":[65,68,100],"location":[66,80,101],"and":[67,70,91,121,140],"speed,":[69],"corresponding":[72,123],"method":[74,82,125],"named":[76,127],"ULCCME.":[78,96],"A":[79],"denoising":[81],"further":[84],"developed":[85],"reduce":[87],"positioning":[89],"error":[90],"improve":[92],"robustness":[94],"For":[97],"cases":[98],"when":[99],"information":[102],"not":[104],"available,":[105],"propose":[107],"an":[108],"interesting":[109],"way":[110],"uses":[112],"environmental":[114],"3D":[115],"images":[116],"CCM,":[120],"SICCME.":[129],"Simulation":[130],"results":[131],"show":[132],"both":[134],"methods":[137],"are":[138],"effective":[139],"will":[141],"benefit":[142],"subsequent":[144],"estimation.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-23T08:51:43.019350","created_date":"2025-10-10T00:00:00"}
