{"id":"https://openalex.org/W3007235619","doi":"https://doi.org/10.1109/imcom48794.2020.9001672","title":"Next Point-of-Attachment Selection Based on Long Short Term Memory Model in Wireless Networks","display_name":"Next Point-of-Attachment Selection Based on Long Short Term Memory Model in Wireless Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3007235619","doi":"https://doi.org/10.1109/imcom48794.2020.9001672","mag":"3007235619"},"language":"en","primary_location":{"id":"doi:10.1109/imcom48794.2020.9001672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom48794.2020.9001672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)","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/A5043279690","display_name":"Huigyu Yang","orcid":"https://orcid.org/0000-0002-2409-166X"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Huigyu Yang","raw_affiliation_strings":["Sungkyunkwan University, Suwon, Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022697983","display_name":"Syed M. Raza","orcid":"https://orcid.org/0000-0001-6580-3232"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Syed M. Raza","raw_affiliation_strings":["Sungkyunkwan University, Suwon, Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026687678","display_name":"Moonseong Kim","orcid":"https://orcid.org/0000-0003-2692-6883"},"institutions":[{"id":"https://openalex.org/I5324124","display_name":"Seoul Theological University","ror":"https://ror.org/00m4aws33","country_code":"KR","type":"education","lineage":["https://openalex.org/I5324124"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Moonseong Kim","raw_affiliation_strings":["Seoul Theological University, Bucheon, Korea"],"affiliations":[{"raw_affiliation_string":"Seoul Theological University, Bucheon, Korea","institution_ids":["https://openalex.org/I5324124"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041230893","display_name":"Duc-Tai Le","orcid":"https://orcid.org/0000-0002-5286-6629"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Duc-Tai Le","raw_affiliation_strings":["Sungkyunkwan University, Suwon, Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022164633","display_name":"Vi Van Vo","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Vi Van Vo","raw_affiliation_strings":["Sungkyunkwan University, Suwon, Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054933494","display_name":"Hyunseung Choo","orcid":"https://orcid.org/0000-0002-6485-3155"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunseung Choo","raw_affiliation_strings":["Sungkyunkwan University, Suwon, Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5043279690"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":null,"apc_paid":null,"fwci":2.0505,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8734375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.8518577814102173},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5358620285987854},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5092266798019409},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4926181435585022},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.48107314109802246},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.46519529819488525},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.4572557806968689},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.45608848333358765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4412417411804199},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41733062267303467},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.41479721665382385},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4031106233596802},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3542947769165039},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.21378323435783386},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19016429781913757},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09144312143325806}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8518577814102173},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5358620285987854},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5092266798019409},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4926181435585022},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.48107314109802246},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.46519529819488525},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.4572557806968689},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.45608848333358765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4412417411804199},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41733062267303467},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.41479721665382385},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4031106233596802},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3542947769165039},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.21378323435783386},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19016429781913757},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09144312143325806},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/imcom48794.2020.9001672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom48794.2020.9001672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2035846950","https://openalex.org/W2064675550","https://openalex.org/W2143040511","https://openalex.org/W2541707852","https://openalex.org/W2745468689","https://openalex.org/W2746232229","https://openalex.org/W2767010314","https://openalex.org/W2787510452","https://openalex.org/W2908595264","https://openalex.org/W2998509274"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3092506759","https://openalex.org/W138569904","https://openalex.org/W3010890513","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W2368524271"],"abstract_inverted_index":{"Existing":[0],"mobility":[1,65,81],"management":[2],"systems":[3],"in":[4,26],"cellular":[5],"networks":[6],"are":[7],"ill-equipped":[8],"to":[9,31,40,90],"support":[10],"Ultra-Reliable":[11],"and":[12,22,51,76,127,142,162],"Low":[13],"Latency":[14],"Communication":[15],"(URLLC)":[16],"requirement":[17,44],"of":[18,45,63,69,73,79,95,115,123],"next":[19,71,93],"generation":[20],"prevalent":[21],"real":[23],"time":[24],"services":[25],"dense":[27],"network":[28],"deployments":[29],"due":[30],"their":[32,129],"reactive":[33],"approach.":[34],"Proactive":[35],"approach":[36,89],"is":[37,54,105,157],"one":[38],"way":[39],"meet":[41],"the":[42,57,92,112,116,132,147],"URLLC":[43],"these":[46],"services,":[47],"where":[48],"resource":[49],"assignment":[50],"control":[52],"signaling":[53],"completed":[55],"before":[56],"actual":[58],"user":[59,70,80],"mobility.":[60],"Successful":[61],"execution":[62],"proactive":[64],"requires":[66],"accurate":[67],"prediction":[68,133,148],"Point":[72],"Attachment":[74],"(PoA)":[75],"precise":[77],"estimation":[78],"instant.":[82],"This":[83],"paper":[84],"adopts":[85],"supervised":[86],"deep":[87],"learning":[88],"predict":[91],"PoA":[94],"user.":[96],"In":[97],"particular,":[98],"a":[99],"Long":[100],"Short-Term":[101],"Memory":[102],"(LSTM)":[103],"model":[104,126,156],"developed":[106],"for":[107],"this":[108],"purpose,":[109],"which":[110],"exploits":[111],"temporal":[113],"characteristics":[114],"data.":[117],"We":[118],"discuss":[119],"different":[120],"design":[121],"choices":[122],"our":[124,155],"LSTM":[125],"show":[128],"effects":[130],"on":[131],"accuracy.":[134,149],"Evaluation":[135],"results":[136],"reveal":[137],"that":[138],"proper":[139],"data":[140,161],"preprocessing":[141],"time-step":[143],"increment":[144],"significantly":[145],"affects":[146],"The":[150],"highest":[151],"accuracy":[152],"achieved":[153],"by":[154],"91%":[158],"with":[159],"shuffled":[160],"stacked":[163],"LSTM.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}