{"id":"https://openalex.org/W4406458597","doi":"https://doi.org/10.1109/lwc.2025.3530481","title":"Prediction-Based Link Selection With Machine Learning in HAP-Assisted FSO Networks","display_name":"Prediction-Based Link Selection With Machine Learning in HAP-Assisted FSO Networks","publication_year":2025,"publication_date":"2025-01-16","ids":{"openalex":"https://openalex.org/W4406458597","doi":"https://doi.org/10.1109/lwc.2025.3530481"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2025.3530481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2025.3530481","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Wireless Communications Letters","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/A5082383672","display_name":"Norranat Songsriboonsit","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Norranat Songsriboonsit","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044028771","display_name":"Tiago Koketsu Rodrigues","orcid":"https://orcid.org/0000-0003-0881-3818"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tiago Koketsu Rodrigues","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101772913","display_name":"Yuichi Kawamoto","orcid":"https://orcid.org/0000-0002-5290-6520"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichi Kawamoto","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102101111","display_name":"Yasutaka Yamashita","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasutaka Yamashita","raw_affiliation_strings":["Communication Fundamental Technology Department, Communication Networking Technology Group, Mitsubishi Electric Corporation, Tokyo, Japan","Communication Fundamental Technology Department Communication Networking Technology Group, Japan"],"affiliations":[{"raw_affiliation_string":"Communication Fundamental Technology Department, Communication Networking Technology Group, Mitsubishi Electric Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I4210133125"]},{"raw_affiliation_string":"Communication Fundamental Technology Department Communication Networking Technology Group, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076429814","display_name":"Makoto Morikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Marika Morikawa","raw_affiliation_strings":["Communication Fundamental Technology Department, Communication Networking Technology Group, Mitsubishi Electric Corporation, Tokyo, Japan","Communication Fundamental Technology Department Communication Networking Technology Group, Japan"],"affiliations":[{"raw_affiliation_string":"Communication Fundamental Technology Department, Communication Networking Technology Group, Mitsubishi Electric Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I4210133125"]},{"raw_affiliation_string":"Communication Fundamental Technology Department Communication Networking Technology Group, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013311265","display_name":"Nei Kato","orcid":"https://orcid.org/0000-0001-8769-302X"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nei Kato","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5082383672"],"corresponding_institution_ids":["https://openalex.org/I201537933"],"apc_list":null,"apc_paid":null,"fwci":55.6915,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.998038,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"14","issue":"4","first_page":"1024","last_page":"1028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9380000233650208,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9380000233650208,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7318799495697021},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6120488047599792},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.5712025761604309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.439247190952301},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.43166232109069824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41400572657585144},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3387082815170288}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7318799495697021},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6120488047599792},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.5712025761604309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.439247190952301},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.43166232109069824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41400572657585144},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3387082815170288}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lwc.2025.3530481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2025.3530481","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Wireless Communications Letters","raw_type":"journal-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/W1966279117","https://openalex.org/W2052760356","https://openalex.org/W2986765910","https://openalex.org/W3098949437","https://openalex.org/W3118425671","https://openalex.org/W3130044217","https://openalex.org/W3188948381","https://openalex.org/W4285118548","https://openalex.org/W4308917782","https://openalex.org/W4313887436","https://openalex.org/W4317795272","https://openalex.org/W4368371691","https://openalex.org/W4368371709","https://openalex.org/W4379196819","https://openalex.org/W4388017757","https://openalex.org/W4389610350","https://openalex.org/W4390262898","https://openalex.org/W4392152419"],"related_works":["https://openalex.org/W1518185400","https://openalex.org/W3200586296","https://openalex.org/W4230332972","https://openalex.org/W1998033311","https://openalex.org/W4247322236","https://openalex.org/W1762272577","https://openalex.org/W4206960768","https://openalex.org/W4229899156","https://openalex.org/W2158247860","https://openalex.org/W4295104149"],"abstract_inverted_index":{"Free":[0],"Space":[1],"Optical":[2],"communication":[3],"is":[4,19],"an":[5],"essential":[6],"technology":[7],"that":[8,73],"meets":[9],"the":[10],"demanding":[11],"requirements":[12],"of":[13],"sixth-generation":[14],"networks.":[15],"However,":[16],"its":[17],"effectiveness":[18],"compromised":[20],"by":[21],"weather":[22],"sensitivity,":[23],"especially":[24],"in":[25,48],"cloudy":[26],"conditions.":[27],"This":[28],"letter":[29],"explores":[30],"using":[31,68],"deep":[32],"learning":[33],"models":[34],"as":[35,54],"link":[36,42,75,89],"selection":[37,76],"algorithms":[38],"to":[39,58],"achieve":[40],"high":[41],"availability":[43,83],"and":[44,62,84],"low":[45],"system":[46,82],"overhead":[47],"HAP-assisted":[49],"networks,":[50],"where":[51],"HAP":[52],"serves":[53],"a":[55],"relay":[56],"node":[57],"extend":[59],"network":[60],"coverage":[61],"enhance":[63],"flexibility.":[64],"Our":[65],"experiments,":[66],"conducted":[67],"real":[69],"cloud":[70],"data,":[71],"demonstrate":[72],"prediction-based":[74],"with":[77],"recurrent":[78],"neural":[79],"networks":[80],"improves":[81],"throughput":[85],"while":[86],"significantly":[87],"reducing":[88],"switching":[90],"overhead.":[91]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
