{"id":"https://openalex.org/W4404740106","doi":"https://doi.org/10.1109/isncc62547.2024.10759051","title":"Efficient Cross-Frequency Beam Prediction in 6G Wireless Using Time Series Data","display_name":"Efficient Cross-Frequency Beam Prediction in 6G Wireless Using Time Series Data","publication_year":2024,"publication_date":"2024-10-22","ids":{"openalex":"https://openalex.org/W4404740106","doi":"https://doi.org/10.1109/isncc62547.2024.10759051"},"language":"en","primary_location":{"id":"doi:10.1109/isncc62547.2024.10759051","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isncc62547.2024.10759051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Symposium on Networks, Computers and Communications (ISNCC)","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/A5024599337","display_name":"Vaibhav Bhosale","orcid":"https://orcid.org/0009-0007-4663-004X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vaibhav Bhosale","raw_affiliation_strings":["School of Computer Science, Georgia Institute of Technology,Atlanta,USA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Georgia Institute of Technology,Atlanta,USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053277598","display_name":"Navrati Saxena","orcid":null},"institutions":[{"id":"https://openalex.org/I51504820","display_name":"San Jose State University","ror":"https://ror.org/04qyvz380","country_code":"US","type":"education","lineage":["https://openalex.org/I51504820"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Navrati Saxena","raw_affiliation_strings":["San Jose State University,Department of Computer Science,San Jose,USA"],"affiliations":[{"raw_affiliation_string":"San Jose State University,Department of Computer Science,San Jose,USA","institution_ids":["https://openalex.org/I51504820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074372260","display_name":"Ketan Bhardwaj","orcid":"https://orcid.org/0000-0002-3106-6307"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ketan Bhardwaj","raw_affiliation_strings":["School of Computer Science, Georgia Institute of Technology,Atlanta,USA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Georgia Institute of Technology,Atlanta,USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085918364","display_name":"Ada Gavrilovska","orcid":"https://orcid.org/0000-0003-4199-2512"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ada Gavrilovska","raw_affiliation_strings":["School of Computer Science, Georgia Institute of Technology,Atlanta,USA"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Georgia Institute of Technology,Atlanta,USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076362329","display_name":"Abhishek Roy","orcid":"https://orcid.org/0000-0002-9272-6778"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abhishek Roy","raw_affiliation_strings":["Mediatek Inc,Advanced Communication Technology,San Jose,USA"],"affiliations":[{"raw_affiliation_string":"Mediatek Inc,Advanced Communication Technology,San Jose,USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024599337"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19284098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9851999878883362,"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":0.9851999878883362,"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/T11946","display_name":"Antenna Design and Optimization","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9794999957084656,"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/series","display_name":"Series (stratigraphy)","score":0.652050793170929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5985392928123474},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5935554504394531},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5449170470237732},{"id":"https://openalex.org/keywords/cross-spectrum","display_name":"Cross-spectrum","score":0.531780481338501},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.42378565669059753},{"id":"https://openalex.org/keywords/beam","display_name":"Beam (structure)","score":0.41890233755111694},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2908974587917328},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12700724601745605},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.11765390634536743},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11226204037666321},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07815694808959961},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07186901569366455}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.652050793170929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5985392928123474},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5935554504394531},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5449170470237732},{"id":"https://openalex.org/C184484680","wikidata":"https://www.wikidata.org/wiki/Q5188201","display_name":"Cross-spectrum","level":3,"score":0.531780481338501},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.42378565669059753},{"id":"https://openalex.org/C168834538","wikidata":"https://www.wikidata.org/wiki/Q3705329","display_name":"Beam (structure)","level":2,"score":0.41890233755111694},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2908974587917328},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12700724601745605},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.11765390634536743},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11226204037666321},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07815694808959961},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07186901569366455},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isncc62547.2024.10759051","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isncc62547.2024.10759051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Symposium on Networks, Computers and Communications (ISNCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8100000023841858,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W183625566","https://openalex.org/W1984114931","https://openalex.org/W2034651337","https://openalex.org/W2064675550","https://openalex.org/W2195693430","https://openalex.org/W2766736793","https://openalex.org/W2956797962","https://openalex.org/W2995394700","https://openalex.org/W3002489817","https://openalex.org/W3011676575","https://openalex.org/W3036327743","https://openalex.org/W3043273434","https://openalex.org/W3047372262","https://openalex.org/W3095994005","https://openalex.org/W3163036309","https://openalex.org/W3189132221","https://openalex.org/W4285047796","https://openalex.org/W4319068858","https://openalex.org/W4385245566","https://openalex.org/W4385258623","https://openalex.org/W4391547876","https://openalex.org/W6674330103","https://openalex.org/W6805384350"],"related_works":["https://openalex.org/W1510413001","https://openalex.org/W2015552859","https://openalex.org/W2783563981","https://openalex.org/W2100885243","https://openalex.org/W2133340293","https://openalex.org/W8098291","https://openalex.org/W3121339703","https://openalex.org/W2147692718","https://openalex.org/W2355535309","https://openalex.org/W4252672294"],"abstract_inverted_index":{"Next":[0],"generation":[1],"6G":[2],"wireless":[3,17],"envisions":[4],"a":[5,11,123],"much":[6],"higher":[7],"data":[8,35],"rate":[9],"and":[10,49,60,92,106,119,130],"lower":[12],"latency":[13],"compared":[14,191],"to":[15,31,80,117,132,177,192],"5G":[16],"networks.":[18],"Directional":[19],"antennas":[20],"with":[21,164],"narrow":[22,61],"beams":[23,62],"across":[24,144],"high":[25,34,64,93,145],"mmWave":[26,66,95,147],"frequencies":[27],"hold":[28],"the":[29,43,185],"key":[30],"achieving":[32],"such":[33],"rates.":[36],"However,":[37],"Beam":[38],"Management":[39],"(BM),":[40],"which":[41],"is":[42],"process":[44],"of":[45,86,104,161],"finding":[46],"appropriate":[47],"transmit":[48],"receive":[50],"beams,":[51],"offers":[52],"significant":[53],"challenges.":[54,71],"Dynamic":[55],"channel":[56,112,136],"variation,":[57],"user":[58],"mobility,":[59],"in":[63,100,168],"frequency":[65,94,146],"channels":[67,96],"further":[68],"complicate":[69],"these":[70],"Efficient":[72],"Machine":[73],"Learning":[74],"(ML)":[75],"strategies":[76],"can":[77],"be":[78],"used":[79],"alleviate":[81],"this":[82],"overhead.":[83],"In":[84],"spite":[85],"their":[87],"underlying":[88],"differences,":[89],"sub-6":[90,110,134,169],"GHz":[91,111,135,170],"share":[97],"some":[98],"similarities":[99],"array":[101],"geometry,":[102],"number":[103],"paths,":[105],"surrounding":[107],"environment.":[108],"As":[109],"characteristics":[113],"are":[114],"relatively":[115],"easier":[116],"acquire":[118],"learn,":[120],"we":[121],"introduce":[122],"new":[124],"machine":[125],"learning":[126,160],"framework,":[127],"using":[128,157],"transformer":[129],"LSTM":[131],"learn":[133],"information":[137],"over":[138,189],"time":[139],"for":[140],"efficient":[141],"beam":[142,162,180],"prediction":[143,181],"channels.":[148],"System":[149],"Level":[150],"simulation":[151],"results":[152],"point":[153],"out":[154],"that":[155],"when":[156],"time-series":[158],"data-based":[159],"patterns":[163],"transformers":[165],"or":[166],"LSTMs":[167],"channels,":[171],"our":[172],"proposed":[173],"scheme":[174],"achieves":[175],"up":[176],"99.5%":[178],"top-5":[179],"accuracy":[182],"while":[183],"reducing":[184],"BM":[186],"overhead":[187],"by":[188],"50%":[190],"existing":[193],"work.":[194]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}