{"id":"https://openalex.org/W2785489572","doi":"https://doi.org/10.1109/pimrc.2017.8292299","title":"Sojourn time estimation-based small cell selection in Ultra-Dense Networks","display_name":"Sojourn time estimation-based small cell selection in Ultra-Dense Networks","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2785489572","doi":"https://doi.org/10.1109/pimrc.2017.8292299","mag":"2785489572"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc.2017.8292299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2017.8292299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","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/A5084608072","display_name":"Bangxu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bangxu Li","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400403","display_name":"Hongtao Zhang","orcid":"https://orcid.org/0000-0003-2031-5985"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongtao Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025894072","display_name":"Peng Hao","orcid":"https://orcid.org/0000-0003-4983-480X"},"institutions":[{"id":"https://openalex.org/I4210098582","display_name":"ZTE (China)","ror":"https://ror.org/00rjhhq63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098582"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Hao","raw_affiliation_strings":["ZTE Corporation, Wireless Product R&D Institute, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"ZTE Corporation, Wireless Product R&D Institute, Shenzhen, China","institution_ids":["https://openalex.org/I4210098582"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402458","display_name":"Jian Li","orcid":"https://orcid.org/0000-0002-0030-1423"},"institutions":[{"id":"https://openalex.org/I4210098582","display_name":"ZTE (China)","ror":"https://ror.org/00rjhhq63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210098582"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["ZTE Corporation, Wireless Product R&D Institute, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"ZTE Corporation, Wireless Product R&D Institute, Shenzhen, China","institution_ids":["https://openalex.org/I4210098582"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084608072"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.7167,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74250109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998999834060669,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998999834060669,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9993000030517578,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9990000128746033,"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":0.6817586421966553},{"id":"https://openalex.org/keywords/voronoi-diagram","display_name":"Voronoi diagram","score":0.6674339175224304},{"id":"https://openalex.org/keywords/handover","display_name":"Handover","score":0.6452487111091614},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5417024493217468},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.5371134877204895},{"id":"https://openalex.org/keywords/cumulative-distribution-function","display_name":"Cumulative distribution function","score":0.5216013193130493},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4699530601501465},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.45688846707344055},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33855921030044556},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3218672275543213},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2506392002105713},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24933692812919617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24863716959953308},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.14459094405174255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12089020013809204}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6817586421966553},{"id":"https://openalex.org/C24881265","wikidata":"https://www.wikidata.org/wiki/Q757267","display_name":"Voronoi diagram","level":2,"score":0.6674339175224304},{"id":"https://openalex.org/C111852164","wikidata":"https://www.wikidata.org/wiki/Q1414679","display_name":"Handover","level":2,"score":0.6452487111091614},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5417024493217468},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.5371134877204895},{"id":"https://openalex.org/C103784038","wikidata":"https://www.wikidata.org/wiki/Q386228","display_name":"Cumulative distribution function","level":3,"score":0.5216013193130493},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4699530601501465},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45688846707344055},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33855921030044556},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3218672275543213},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2506392002105713},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24933692812919617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24863716959953308},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.14459094405174255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12089020013809204},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc.2017.8292299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2017.8292299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1489473270","https://openalex.org/W1510773251","https://openalex.org/W1964932087","https://openalex.org/W1980244411","https://openalex.org/W2086451285","https://openalex.org/W2117601697","https://openalex.org/W2182821334","https://openalex.org/W2296631137","https://openalex.org/W2398409936","https://openalex.org/W2561246496","https://openalex.org/W6630899756"],"related_works":["https://openalex.org/W3020555194","https://openalex.org/W2793256277","https://openalex.org/W4360958759","https://openalex.org/W2348235448","https://openalex.org/W2116218375","https://openalex.org/W2389906634","https://openalex.org/W176898926","https://openalex.org/W288156810","https://openalex.org/W1562406979","https://openalex.org/W175410029"],"abstract_inverted_index":{"Ultra-Dense":[0],"Networks":[1],"(UDNs)":[2],"is":[3,37,45,71,89,97,117,130,143],"a":[4,25,63,121,174],"clear":[5],"trend":[6],"for":[7,42,145],"future":[8],"5G":[9],"while":[10],"dense":[11],"deployment":[12],"of":[13,56,77,104,110,128,148],"small":[14,48],"cells":[15],"(SCs)":[16],"would":[17,165],"result":[18],"in":[19,29,60,107,113,180],"unnecessary":[20],"handovers":[21],"(UHOs)":[22],"due":[23],"to":[24,197,211],"shorter":[26,160],"sojourn":[27,57,68,79,95,140,157],"time":[28,69,80,96,141,158],"the":[30,54,78,83,93,101,108,126,138,146,162,182,187,203],"target":[31],"SC":[32,87,129],"and":[33,86,152,192,199],"thus":[34],"user":[35,84,105,115],"experience":[36],"degraded.":[38],"The":[39,73],"main":[40],"reason":[41],"this":[43,61],"problem":[44],"that":[46,171],"existing":[47],"cell":[49],"selection":[50],"(SCS)":[51],"schemes":[52],"ignore":[53],"importance":[55],"time.":[58],"Therefore,":[59],"paper,":[62],"SCS":[64],"scheme":[65,124,184],"based":[66],"on":[67,82],"estimation":[70],"proposed.":[72],"Cumulative":[74],"Distribution":[75],"Function":[76],"depending":[81],"velocity":[85],"intensity":[88],"presented":[90],"firstly.":[91],"Furthermore,":[92],"instantaneous":[94],"calculated":[98],"by":[99,119,132,195,209],"estimating":[100],"chord":[102],"length":[103],"trajectory":[106],"coverage":[109,127],"candidate":[111,154],"SC,":[112],"which":[114],"direction":[116,122],"obtained":[118],"applying":[120],"prediction":[123],"meanwhile":[125],"determined":[131,144],"Poisson-Voronoi":[133],"Tessellations":[134],"(PVTs).":[135],"In":[136],"addition,":[137],"optimal":[139],"threshold":[142,164],"purpose":[147],"lower":[149],"handover":[150,204],"failures":[151,205],"those":[153],"SCs":[155],"whose":[156],"are":[159],"than":[161],"predefined":[163],"be":[166,207],"skipped.":[167],"Simulation":[168],"results":[169],"show":[170],"compared":[172],"with":[173],"typical":[175],"parameters":[176],"setting":[177],"(TTT=320ms,":[178],"Offset=3dB)":[179],"LtE,":[181],"proposed":[183],"can":[185,206],"reduce":[186],"Ping":[188],"Pong":[189],"(PP)":[190],"rate":[191,194],"UHO":[193],"up":[196,210],"50%":[198],"60%,":[200],"respectively.":[201],"Moreover,":[202],"reduced":[208],"30%.":[212]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
