{"id":"https://openalex.org/W4406861273","doi":"https://doi.org/10.1109/cscn63874.2024.10849747","title":"A Multimodal Spatio-Temporal Fusion Approach for Millimeter-Wave Beam Prediction in Communication Systems","display_name":"A Multimodal Spatio-Temporal Fusion Approach for Millimeter-Wave Beam Prediction in Communication Systems","publication_year":2024,"publication_date":"2024-11-25","ids":{"openalex":"https://openalex.org/W4406861273","doi":"https://doi.org/10.1109/cscn63874.2024.10849747"},"language":"en","primary_location":{"id":"doi:10.1109/cscn63874.2024.10849747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscn63874.2024.10849747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Conference on Standards for Communications and Networking (CSCN)","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/A5100742939","display_name":"Bo Wang","orcid":"https://orcid.org/0000-0001-5635-7971"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":["Xiamen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040241879","display_name":"Yifeng Zhao","orcid":"https://orcid.org/0000-0001-5703-4285"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifeng Zhao","raw_affiliation_strings":["Xiamen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064854087","display_name":"Keyi Cheng","orcid":"https://orcid.org/0000-0002-6961-4524"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyi Cheng","raw_affiliation_strings":["Xiamen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016443154","display_name":"Chenyi Liang","orcid":"https://orcid.org/0009-0006-2495-0002"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyi Liang","raw_affiliation_strings":["Xiamen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22628383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"212","last_page":"217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9897000193595886,"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":0.9897000193595886,"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":0.9545999765396118,"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/extremely-high-frequency","display_name":"Extremely high frequency","score":0.6570945978164673},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.655337929725647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6005416512489319},{"id":"https://openalex.org/keywords/millimeter","display_name":"Millimeter","score":0.5310526490211487},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37135210633277893},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2493411898612976},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1913108229637146},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.17612186074256897}],"concepts":[{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.6570945978164673},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.655337929725647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6005416512489319},{"id":"https://openalex.org/C109792285","wikidata":"https://www.wikidata.org/wiki/Q174789","display_name":"Millimeter","level":2,"score":0.5310526490211487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37135210633277893},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2493411898612976},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1913108229637146},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.17612186074256897},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscn63874.2024.10849747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscn63874.2024.10849747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Conference on Standards for Communications and Networking (CSCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W2128865660","https://openalex.org/W2955897898","https://openalex.org/W2962819920","https://openalex.org/W2964045328","https://openalex.org/W2998254148","https://openalex.org/W3106758205","https://openalex.org/W3115201815","https://openalex.org/W3126163744","https://openalex.org/W3186724161","https://openalex.org/W3194668692","https://openalex.org/W3212590122","https://openalex.org/W3213045530","https://openalex.org/W4226088696","https://openalex.org/W4385356355","https://openalex.org/W4386076121","https://openalex.org/W4388069448"],"related_works":["https://openalex.org/W2317169686","https://openalex.org/W1185324648","https://openalex.org/W2539553997","https://openalex.org/W3159902002","https://openalex.org/W3208155863","https://openalex.org/W2363237216","https://openalex.org/W2033762247","https://openalex.org/W2530392398","https://openalex.org/W2070366004","https://openalex.org/W1997983170"],"abstract_inverted_index":{"In":[0],"millimeter-wave":[1,78],"multiple-input":[2],"multiple-output":[3],"(MIMO)":[4],"communication":[5],"systems,":[6],"traditional":[7],"beam":[8,31,58,79,135],"prediction":[9,32,59,136],"methods":[10],"rely":[11],"on":[12,36],"optimization":[13],"techniques,":[14],"making":[15],"it":[16],"challenging":[17],"to":[18,47,69,89],"meet":[19],"the":[20,45,91,110,127],"demands":[21],"of":[22,93,112],"real-time":[23],"data":[24,38],"transmission.":[25],"Recent":[26],"deep":[27,66],"learning-based":[28],"solutions":[29],"for":[30,77],"have":[33],"primarily":[34],"focused":[35],"single-modal":[37],"processing":[39],"and":[40,75,102,124],"spatial":[41],"feature":[42],"extraction,":[43],"lacking":[44],"ability":[46],"provide":[48],"richer":[49],"features.":[50],"This":[51],"paper":[52],"presents":[53],"a":[54,65,106],"multimodal":[55],"spatio-temporal":[56,83,94],"fusion-based":[57],"method.":[60],"Specifically,":[61],"this":[62],"approach":[63],"leverages":[64],"learning":[67],"framework":[68],"integrate":[70],"information":[71],"from":[72],"cameras,":[73],"radar,":[74],"GPS":[76],"prediction.":[80],"A":[81],"novel":[82],"convolutional":[84],"attention":[85],"module":[86],"is":[87],"designed":[88],"consider":[90],"fusion":[92],"features":[95,113],"within":[96],"each":[97],"modality,":[98],"reducing":[99],"computational":[100,125],"complexity":[101],"improving":[103],"efficiency.":[104],"Additionally,":[105],"cross-attention":[107],"mechanism":[108],"captures":[109],"correlation":[111],"between":[114],"different":[115],"modalities.":[116],"Simulation":[117],"results":[118],"demonstrate":[119],"that,":[120],"considering":[121],"model":[122],"size":[123],"complexity,":[126],"proposed":[128],"method":[129],"surpasses":[130],"other":[131],"comparative":[132],"approaches":[133],"in":[134],"accuracy.":[137]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
