{"id":"https://openalex.org/W2934498797","doi":"https://doi.org/10.1109/bigcomp.2019.8679381","title":"A Markov-Based Prediction Algorithm for User Mobility at Heterogeneous Cloud Radio Access Network","display_name":"A Markov-Based Prediction Algorithm for User Mobility at Heterogeneous Cloud Radio Access Network","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2934498797","doi":"https://doi.org/10.1109/bigcomp.2019.8679381","mag":"2934498797"},"language":"en","primary_location":{"id":"doi:10.1109/bigcomp.2019.8679381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8679381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","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/A5008185532","display_name":"Hyebin Park","orcid":"https://orcid.org/0000-0003-0317-4017"},"institutions":[{"id":"https://openalex.org/I31766871","display_name":"Sookmyung Women's University","ror":"https://ror.org/00vvvt117","country_code":"KR","type":"education","lineage":["https://openalex.org/I31766871"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyebin Park","raw_affiliation_strings":["Department of IT Engineering, Sookmyung Women's University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of IT Engineering, Sookmyung Women's University, Seoul, Korea","institution_ids":["https://openalex.org/I31766871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065801464","display_name":"Yujin Lim","orcid":"https://orcid.org/0000-0002-3076-8040"},"institutions":[{"id":"https://openalex.org/I31766871","display_name":"Sookmyung Women's University","ror":"https://ror.org/00vvvt117","country_code":"KR","type":"education","lineage":["https://openalex.org/I31766871"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yujin Lim","raw_affiliation_strings":["Department of IT Engineering, Sookmyung Women's University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of IT Engineering, Sookmyung Women's University, Seoul, Korea","institution_ids":["https://openalex.org/I31766871"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008185532"],"corresponding_institution_ids":["https://openalex.org/I31766871"],"apc_list":null,"apc_paid":null,"fwci":1.5261,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83974832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9878000020980835,"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/T11478","display_name":"Caching and Content Delivery","score":0.9861000180244446,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8284416794776917},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6463662385940552},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6030774116516113},{"id":"https://openalex.org/keywords/handover","display_name":"Handover","score":0.5766087770462036},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5523642897605896},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.5352972149848938},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.4991455078125},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.49674779176712036},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.48911958932876587},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4851401746273041},{"id":"https://openalex.org/keywords/radio-access-network","display_name":"Radio access network","score":0.43526121973991394},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4320610463619232},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.41460832953453064},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.40828990936279297},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3317505717277527},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16571757197380066},{"id":"https://openalex.org/keywords/mobile-station","display_name":"Mobile station","score":0.10684135556221008}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8284416794776917},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6463662385940552},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6030774116516113},{"id":"https://openalex.org/C111852164","wikidata":"https://www.wikidata.org/wiki/Q1414679","display_name":"Handover","level":2,"score":0.5766087770462036},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5523642897605896},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5352972149848938},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.4991455078125},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.49674779176712036},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.48911958932876587},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4851401746273041},{"id":"https://openalex.org/C106365562","wikidata":"https://www.wikidata.org/wiki/Q3078360","display_name":"Radio access network","level":4,"score":0.43526121973991394},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4320610463619232},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.41460832953453064},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.40828990936279297},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3317505717277527},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16571757197380066},{"id":"https://openalex.org/C207029474","wikidata":"https://www.wikidata.org/wiki/Q384018","display_name":"Mobile station","level":3,"score":0.10684135556221008},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigcomp.2019.8679381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8679381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1777364864","https://openalex.org/W1978973459","https://openalex.org/W1982300822","https://openalex.org/W2110953678","https://openalex.org/W2131664101","https://openalex.org/W2132647318","https://openalex.org/W2140251882","https://openalex.org/W2162595576","https://openalex.org/W2172041433","https://openalex.org/W2536739397","https://openalex.org/W2568479106","https://openalex.org/W2574431167","https://openalex.org/W2784247432","https://openalex.org/W2788096150","https://openalex.org/W2883175183","https://openalex.org/W4252855139","https://openalex.org/W6728686180","https://openalex.org/W6732520983","https://openalex.org/W6748876280"],"related_works":["https://openalex.org/W2395800181","https://openalex.org/W2303288554","https://openalex.org/W3033750547","https://openalex.org/W2029216794","https://openalex.org/W2047225036","https://openalex.org/W4386698331","https://openalex.org/W2138314731","https://openalex.org/W2093207996","https://openalex.org/W2322468729","https://openalex.org/W2142989636"],"abstract_inverted_index":{"To":[0,41],"provide":[1],"high-quality":[2],"services":[3],"to":[4,24,51,75,104],"the":[5,43,58,64,106,139],"explosion":[6],"of":[7,13,33,109,126,145],"users":[8,49,110],"in":[9,29,111],"cellular":[10],"networks,":[11],"forecasts":[12,85],"users'":[14,26],"next":[15,27,60,107],"location":[16,28,61,108],"have":[17],"been":[18],"studied.":[19],"But":[20],"it":[21,45],"is":[22,46,62],"difficult":[23],"predict":[25],"urban":[30],"areas":[31],"because":[32],"mobility":[34],"and":[35,38,83,91,136],"dynamic":[36],"road":[37],"traffic":[39,65],"condition.":[40],"address":[42],"problems,":[44],"used":[47],"that":[48,86,124],"tend":[50],"move":[52],"based":[53],"on":[54],"social":[55],"relations.":[56],"If":[57],"user's":[59],"predictable,":[63],"changes":[66],"will":[67],"be":[68,73],"also":[69],"predictable.":[70],"It":[71],"can":[72,87],"applied":[74],"various":[76],"studies,":[77],"such":[78],"as":[79],"base":[80],"station":[81],"switching":[82],"handover":[84],"solve":[88],"energy":[89],"consumption":[90],"service":[92],"delay":[93],"problems.":[94],"In":[95],"this":[96],"study,":[97],"we":[98],"propose":[99],"a":[100],"Markov-based":[101],"prediction":[102,140],"algorithm":[103],"forecast":[105],"H-CRAN":[112],"(heterogeneous":[113],"cloud":[114],"radio":[115],"access":[116],"network).":[117],"We":[118],"use":[119],"RRH(radio":[120],"remote":[121],"head)":[122],"trajectory":[123],"consists":[125],"histories":[127],"stored":[128],"serving":[129],"RRH":[130],"for":[131],"each":[132],"user.":[133],"Simulation":[134],"results":[135],"discussions":[137],"demonstrate":[138],"accuracy":[141],"compared":[142],"with":[143],"those":[144],"autoregressive":[146],"models.":[147]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}