{"id":"https://openalex.org/W4402834666","doi":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683207","title":"Fast Best Beam Prediction and Overhead Reduction for 6G Networks: A Deep Learning Approach","display_name":"Fast Best Beam Prediction and Overhead Reduction for 6G Networks: A Deep Learning Approach","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4402834666","doi":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683207"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2024-spring62846.2024.10683207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)","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/A5024239641","display_name":"Jalal Jalali","orcid":"https://orcid.org/0000-0002-3609-6775"},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jalal Jalali","raw_affiliation_strings":["Wireless Research and Standards, Futurewei Technologies,Bridgewater,NJ,USA,08807"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless Research and Standards, Futurewei Technologies,Bridgewater,NJ,USA,08807","institution_ids":["https://openalex.org/I4210146936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084819904","display_name":"Juan Roa","orcid":"https://orcid.org/0000-0002-8970-421X"},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juan Roa","raw_affiliation_strings":["Wireless Research and Standards, Futurewei Technologies,Bridgewater,NJ,USA,08807"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless Research and Standards, Futurewei Technologies,Bridgewater,NJ,USA,08807","institution_ids":["https://openalex.org/I4210146936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046715321","display_name":"Yifei Song","orcid":"https://orcid.org/0000-0002-4198-7839"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifei Song","raw_affiliation_strings":["Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA,USA,24060"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA,USA,24060","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048324605","display_name":"Renjian Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Renjian Zhao","raw_affiliation_strings":["Wireless Research and Standards, Futurewei Technologies,Bridgewater,NJ,USA,08807"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless Research and Standards, Futurewei Technologies,Bridgewater,NJ,USA,08807","institution_ids":["https://openalex.org/I4210146936"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011748948","display_name":"Baoling Sheen","orcid":"https://orcid.org/0000-0002-0222-2454"},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baoling Sheen","raw_affiliation_strings":["Wireless Research and Standards, Futurewei Technologies,Bridgewater,NJ,USA,08807"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless Research and Standards, Futurewei Technologies,Bridgewater,NJ,USA,08807","institution_ids":["https://openalex.org/I4210146936"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024239641"],"corresponding_institution_ids":["https://openalex.org/I4210146936"],"apc_list":null,"apc_paid":null,"fwci":1.5802,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83605863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10767","display_name":"Advanced Photonic Communication Systems","score":0.9894999861717224,"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/T10767","display_name":"Advanced Photonic Communication Systems","score":0.9894999861717224,"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/T10299","display_name":"Photonic and Optical Devices","score":0.9478999972343445,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9361000061035156,"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/reduction","display_name":"Reduction (mathematics)","score":0.7674443125724792},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.7194074988365173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.615972101688385},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6021813154220581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4282359778881073},{"id":"https://openalex.org/keywords/beam","display_name":"Beam (structure)","score":0.41865724325180054},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.18019723892211914},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1261962354183197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09202048182487488}],"concepts":[{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.7674443125724792},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.7194074988365173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.615972101688385},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6021813154220581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4282359778881073},{"id":"https://openalex.org/C168834538","wikidata":"https://www.wikidata.org/wiki/Q3705329","display_name":"Beam (structure)","level":2,"score":0.41865724325180054},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.18019723892211914},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1261962354183197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09202048182487488},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2024-spring62846.2024.10683207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-spring62846.2024.10683207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2094655360","https://openalex.org/W2793174211","https://openalex.org/W2796047239","https://openalex.org/W2963698657","https://openalex.org/W2964005248","https://openalex.org/W2997604048","https://openalex.org/W3011676575","https://openalex.org/W3036327743","https://openalex.org/W3037461776","https://openalex.org/W3118245008","https://openalex.org/W3119458351","https://openalex.org/W3175566727","https://openalex.org/W4226178516","https://openalex.org/W4226381701","https://openalex.org/W4293057730","https://openalex.org/W4319068858","https://openalex.org/W4376481387","https://openalex.org/W4389161404"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"Beam":[0],"management":[1],"(BM)":[2],"plays":[3],"a":[4,126],"crucial":[5],"role":[6],"in":[7,12,42,109,172],"maintaining":[8],"reliable":[9],"communication":[10],"links":[11],"highly":[13],"dynamic":[14],"scenarios.":[15],"To":[16],"enhance":[17],"BM":[18,108,160],"performance,":[19],"the":[20,29,43,60,69,75,114,154,169,188,193],"3rd":[21],"Generation":[22],"Partnership":[23],"Project":[24],"(3GPP)":[25],"is":[26],"actively":[27],"exploring":[28],"use":[30],"of":[31,52,71,192],"artificial":[32],"intelligence":[33],"(AI)":[34],"and":[35,66,90,118,166,186],"machine":[36],"learning":[37],"(ML)":[38],"for":[39,107,138],"beam":[40,72,84,104,116,120,140,163,183,196],"prediction":[41,105,142,184],"evolution":[44],"toward":[45],"sixth-generation":[46],"(6G)":[47],"communications.":[48],"The":[49],"main":[50],"goals":[51],"these":[53],"3GPP-based":[54],"standard":[55],"studies":[56],"are":[57,123],"to":[58,67,82,180,200],"minimize":[59],"overhead":[61,165],"from":[62],"reference":[63],"signals":[64],"(RSs)":[65],"reduce":[68],"number":[70],"sweepings":[73],"at":[74],"user":[76],"equipment":[77],"(UE),":[78],"which":[79],"arise":[80],"due":[81],"frequent":[83],"measurements":[85,135],"caused":[86],"by":[87,198],"UE":[88],"movement":[89],"rotation.":[91],"This":[92,111],"paper":[93],"delves":[94],"into":[95],"an":[96,144],"AI/ML":[97,156],"algorithm":[98,177],"design":[99],"that":[100,129,153],"supports":[101],"spatial":[102],"domain":[103],"tailored":[106],"6G.":[110],"includes":[112],"forecasting":[113],"optimal":[115],"(pairs)":[117],"anticipating":[119],"changes.":[121],"Simulations":[122],"based":[124],"on":[125],"data-driven":[127],"strategy":[128],"uses":[130],"RS":[131],"receive":[132],"power":[133],"(RSRP)":[134],"as":[136],"input":[137],"fast":[139],"pair":[141,197],"with":[143],"advanced":[145],"convolutions":[146],"neural":[147],"network":[148],"(CNN)":[149],"architecture.":[150],"Results":[151],"indicate":[152],"proposed":[155,176],"model":[157],"outperforms":[158],"conventional":[159],"techniques,":[161],"reducing":[162],"sweeping":[164],"thereby":[167],"validating":[168],"AI/ML's":[170],"potential":[171],"BM.":[173],"Additionally,":[174],"our":[175],"achieves":[178],"up":[179,199],"40.58%":[181],"higher":[182],"accuracy":[185],"improves":[187],"mean":[189],"RSRP":[190],"difference":[191],"predicted":[194],"best":[195],"2.89":[201],"d":[202],"<tex":[203],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[204],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$B$</tex>.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}