{"id":"https://openalex.org/W4386212602","doi":"https://doi.org/10.1109/siu59756.2023.10223764","title":"Handover Method Based on Time Series Analysis","display_name":"Handover Method Based on Time Series Analysis","publication_year":2023,"publication_date":"2023-07-05","ids":{"openalex":"https://openalex.org/W4386212602","doi":"https://doi.org/10.1109/siu59756.2023.10223764"},"language":"en","primary_location":{"id":"doi:10.1109/siu59756.2023.10223764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu59756.2023.10223764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5092705762","display_name":"Adnan Can B\u00fcy\u00fck\u015firin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adnan Can B\u00fcy\u00fck\u015firin","raw_affiliation_strings":["İstanbul Teknik Üniversitesi,Elektronik ve Haberleşme Mühendisliği,İstanbul,Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"İstanbul Teknik Üniversitesi,Elektronik ve Haberleşme Mühendisliği,İstanbul,Türkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092705763","display_name":"Efe Mert \u00c7\u0131rpar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Efe Mert \u00c7\u0131rpar","raw_affiliation_strings":["İstanbul Teknik Üniversitesi,Elektronik ve Haberleşme Mühendisliği,İstanbul,Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"İstanbul Teknik Üniversitesi,Elektronik ve Haberleşme Mühendisliği,İstanbul,Türkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092705764","display_name":"Murat Ba\u015far K\u00f6m\u00fcrc\u00fc","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Murat Ba\u015far K\u00f6m\u00fcrc\u00fc","raw_affiliation_strings":["İstanbul Teknik Üniversitesi,Elektronik ve Haberleşme Mühendisliği,İstanbul,Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"İstanbul Teknik Üniversitesi,Elektronik ve Haberleşme Mühendisliği,İstanbul,Türkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058443945","display_name":"Semiha Tedik Ba\u015faran","orcid":"https://orcid.org/0000-0003-2636-143X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Semiha Tedik Basaran","raw_affiliation_strings":["İstanbul Teknik Üniversitesi,Elektronik ve Haberleşme Mühendisliği,İstanbul,Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"İstanbul Teknik Üniversitesi,Elektronik ve Haberleşme Mühendisliği,İstanbul,Türkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8451,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72681826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10986","display_name":"RFID technology advancements","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10986","display_name":"RFID technology advancements","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9132999777793884,"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/handover","display_name":"Handover","score":0.939633846282959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7537416219711304},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5483213663101196},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.537443995475769},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5166226029396057},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5011789798736572},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4952920973300934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49121779203414917},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4445301592350006},{"id":"https://openalex.org/keywords/mobile-telephony","display_name":"Mobile telephony","score":0.4124372601509094},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4123286306858063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37658554315567017},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3653848171234131},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2673347592353821},{"id":"https://openalex.org/keywords/mobile-radio","display_name":"Mobile radio","score":0.1860550343990326}],"concepts":[{"id":"https://openalex.org/C111852164","wikidata":"https://www.wikidata.org/wiki/Q1414679","display_name":"Handover","level":2,"score":0.939633846282959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7537416219711304},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5483213663101196},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.537443995475769},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5166226029396057},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5011789798736572},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4952920973300934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49121779203414917},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4445301592350006},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.4124372601509094},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4123286306858063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37658554315567017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3653848171234131},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2673347592353821},{"id":"https://openalex.org/C2781307350","wikidata":"https://www.wikidata.org/wiki/Q6887221","display_name":"Mobile radio","level":2,"score":0.1860550343990326},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu59756.2023.10223764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu59756.2023.10223764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2520149731","https://openalex.org/W1981519115","https://openalex.org/W3006634511","https://openalex.org/W1985631144","https://openalex.org/W2087123996","https://openalex.org/W2115561238","https://openalex.org/W2103264866","https://openalex.org/W2023203067","https://openalex.org/W2383111961","https://openalex.org/W2165132389"],"abstract_inverted_index":{"In":[0,75],"order":[1],"to":[2,27,70,137],"meet":[3],"the":[4,20,47,53,60,78,91,95,129],"increasing":[5],"data":[6],"traffic":[7],"demand":[8],"in":[9,46,59,140],"5G":[10],"and":[11,106],"beyond":[12],"mobile":[13],"communication":[14],"systems,":[15],"it":[16,35,124],"is":[17,36,68,82],"expected":[18],"that":[19,38,128],"number":[21],"of":[22,31,49,55,94,103,116],"cells":[23],"will":[24],"increase,":[25],"leading":[26],"more":[28,133],"frequent":[29,50],"occurrences":[30],"handover":[32,73],"(HO).":[33],"However,":[34],"predicted":[37],"baseline":[39],"HO":[40,61,79,135],"procedures":[41],"may":[42],"make":[43],"incorrect":[44],"decisions":[45,136],"case":[48],"handovers.":[51],"Therefore,":[52],"use":[54],"deep":[56,108],"learning":[57,109],"algorithms":[58,110],"procedure,":[62],"along":[63],"with":[64],"proactive":[65],"decision":[66,80],"mechanisms,":[67],"considered":[69],"prevent":[71],"false":[72],"situations.":[74],"this":[76],"study,":[77],"problem":[81,89],"modeled":[83],"as":[84],"a":[85],"time":[86],"series":[87],"classification":[88],"using":[90,113],"measured":[92],"values":[93],"reference":[96],"signal":[97],"received":[98],"power":[99],"(RSRP).":[100],"Performance":[101],"results":[102,121],"CNN,":[104],"B-DLSTM,":[105],"CB-DLSTM":[107],"are":[111,122],"obtained":[112],"datasets":[114],"composed":[115],"real":[117],"measurements.":[118],"When":[119],"these":[120],"examined,":[123],"can":[125],"be":[126,138],"observed":[127],"proposed":[130],"model":[131],"enables":[132],"accurate":[134],"made":[139],"advance.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}