{"id":"https://openalex.org/W4414539751","doi":"https://doi.org/10.1109/icc52391.2025.11161557","title":"Memristor-Based Meta-Learning for Fast mmWave Beam Prediction in Non-Stationary Environments","display_name":"Memristor-Based Meta-Learning for Fast mmWave Beam Prediction in Non-Stationary Environments","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414539751","doi":"https://doi.org/10.1109/icc52391.2025.11161557"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - 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/A5100435443","display_name":"Yuwen Cao","orcid":"https://orcid.org/0000-0003-4453-033X"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuwen Cao","raw_affiliation_strings":["College of Information Science and Technology, Donghua University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043770264","display_name":"Wenqin Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqin Lu","raw_affiliation_strings":["College of Information Science and Technology, Donghua University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016337773","display_name":"Tomoaki Ohtsuki","orcid":"https://orcid.org/0000-0003-3961-1426"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoaki Ohtsuki","raw_affiliation_strings":["Keio University,Department of Information and Computer Science,Yokohama,Japan"],"affiliations":[{"raw_affiliation_string":"Keio University,Department of Information and Computer Science,Yokohama,Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035655974","display_name":"Setareh Maghsudi","orcid":"https://orcid.org/0000-0002-0647-611X"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Setareh Maghsudi","raw_affiliation_strings":["Ruhr-University Bochum, Germany &#x0026; Fraunhofer Heinrich Hertz Institute,Germany"],"affiliations":[{"raw_affiliation_string":"Ruhr-University Bochum, Germany &#x0026; Fraunhofer Heinrich Hertz Institute,Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061105504","display_name":"Xueqin Jiang","orcid":"https://orcid.org/0000-0002-0414-4349"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue-Qin Jiang","raw_affiliation_strings":["College of Information Science and Technology, Donghua University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116271419","display_name":"Charalampos C. Tsimenidis","orcid":null},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Charalampos C. Tsimenidis","raw_affiliation_strings":["Nottingham Trent University,Department of Engineering,Nottingham,United Kingdom"],"affiliations":[{"raw_affiliation_string":"Nottingham Trent University,Department of Engineering,Nottingham,United Kingdom","institution_ids":["https://openalex.org/I52590639"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100435443"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25458097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1262","last_page":"1267"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9987999796867371,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9987999796867371,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9955999851226807,"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/T10262","display_name":"Microwave Engineering and Waveguides","score":0.995199978351593,"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/overfitting","display_name":"Overfitting","score":0.8012999892234802},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.7623000144958496},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6233999729156494},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6079000234603882},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.4505000114440918},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.3930000066757202},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.3659999966621399},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3573000133037567}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8012999892234802},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.7623000144958496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480999827384949},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6233999729156494},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6079000234603882},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.4505000114440918},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3930000066757202},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3659999966621399},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3573000133037567},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35190001130104065},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.351500004529953},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34200000762939453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3398999869823456},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3147999942302704},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2896000146865845},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2766000032424927},{"id":"https://openalex.org/C168834538","wikidata":"https://www.wikidata.org/wiki/Q3705329","display_name":"Beam (structure)","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25200000405311584},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.25130000710487366},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.25099998712539673}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icc52391.2025.11161557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/497566","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/497566","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1053294086","display_name":null,"funder_award_id":"62301143","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3602419588","display_name":null,"funder_award_id":"2232024D-38","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Traditional":[0],"machine":[1],"learning":[2],"techniques":[3],"have":[4],"achieved":[5],"great":[6],"success":[7],"in":[8,15,50,91,158],"improving":[9],"data-rate":[10],"performance":[11,42],"and":[12,38,44,58,142,173],"reducing":[13],"latency":[14],"millimeter":[16],"wave":[17],"(mmWave)":[18],"communications.":[19],"However,":[20],"these":[21,78],"methods":[22],"still":[23],"face":[24],"two":[25],"key":[26,124],"challenges:":[27],"(i)":[28],"their":[29],"reliance":[30],"on":[31,70,163],"large-scale":[32],"paired":[33],"data":[34],"for":[35,87,110],"model":[36],"training":[37,103,143],"tuning,":[39],"which":[40],"limits":[41],"gains":[43],"makes":[45],"beam":[46,90],"predictions":[47],"outdated,":[48],"especially":[49],"multi-user":[51],"mmWave":[52,89],"systems":[53],"with":[54],"large":[55,164],"antenna":[56],"arrays,":[57],"(ii)":[59],"meta-learning":[60,84],"(ML)-based":[61],"beamforming":[62,130],"solutions":[63],"are":[64,132],"prone":[65],"to":[66,112,122,134],"overfitting":[67],"when":[68,140],"trained":[69],"a":[71,82,106],"limited":[72],"number":[73],"of":[74],"tasks.":[75],"To":[76],"address":[77],"issues,":[79],"we":[80],"propose":[81],"memristorbased":[83],"(M-ML)":[85],"framework":[86,96],"predicting":[88],"real":[92],"time.":[93],"The":[94],"M-ML":[95,126],"generates":[97],"optimal":[98],"initialization":[99],"parameters":[100],"during":[101,115],"the":[102,116,128,169],"phase,":[104],"providing":[105],"strong":[107],"starting":[108],"point":[109],"adapting":[111],"unknown":[113],"environments":[114,144],"testing":[117,141],"phase.":[118],"By":[119],"leveraging":[120],"memory":[121],"store":[123],"data,":[125],"ensures":[127],"predicted":[129],"vectors":[131],"wellsuited":[133],"episodically":[135],"dynamic":[136],"channel":[137],"distributions,":[138],"even":[139],"do":[145],"not":[146],"align.":[147],"Simulation":[148],"results":[149],"show":[150],"that":[151],"our":[152],"approach":[153],"delivers":[154],"high":[155],"prediction":[156],"accuracy":[157],"new":[159],"environments,":[160],"without":[161],"relying":[162],"datasets.":[165],"Moreover,":[166],"MML":[167],"enhances":[168],"model's":[170],"generalization":[171],"ability":[172],"adaptability.":[174]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
