{"id":"https://openalex.org/W3183751731","doi":"https://doi.org/10.1109/infocomwkshps51825.2021.9484431","title":"Enhancing the Handover Performance in Heterogeneous High-speed Railway Communication Networks: A Bayesian-based Method","display_name":"Enhancing the Handover Performance in Heterogeneous High-speed Railway Communication Networks: A Bayesian-based Method","publication_year":2021,"publication_date":"2021-05-10","ids":{"openalex":"https://openalex.org/W3183751731","doi":"https://doi.org/10.1109/infocomwkshps51825.2021.9484431","mag":"3183751731"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps51825.2021.9484431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps51825.2021.9484431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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/A5102011826","display_name":"Rui Ma","orcid":"https://orcid.org/0009-0003-3238-3392"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Ma","raw_affiliation_strings":["Beijing Jiaotong University,School of Computer and Information Technology,Beijing,P. R. China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Computer and Information Technology,Beijing,P. R. China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042668908","display_name":"Ke Xiong","orcid":"https://orcid.org/0000-0001-9364-0207"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Xiong","raw_affiliation_strings":["Beijing Jiaotong University,School of Computer and Information Technology,Beijing,P. R. China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Computer and Information Technology,Beijing,P. R. China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102704885","display_name":"Lu Yang","orcid":"https://orcid.org/0000-0001-7784-1711"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Lu","raw_affiliation_strings":["Beijing Jiaotong University,School of Computer and Information Technology,Beijing,P. R. China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Computer and Information Technology,Beijing,P. R. China,100044","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12146","display_name":"Power Line Communications and Noise","score":0.9839000105857849,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9782999753952026,"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":0.9617632031440735},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.9163789749145508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7951422333717346},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.6880716681480408},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5732192993164062},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.47995996475219727},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.4681938588619232},{"id":"https://openalex.org/keywords/soft-handover","display_name":"Soft handover","score":0.4469802975654602},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.42750829458236694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15233218669891357},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07960423827171326},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.06994715332984924}],"concepts":[{"id":"https://openalex.org/C111852164","wikidata":"https://www.wikidata.org/wiki/Q1414679","display_name":"Handover","level":2,"score":0.9617632031440735},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.9163789749145508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7951422333717346},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6880716681480408},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5732192993164062},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.47995996475219727},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.4681938588619232},{"id":"https://openalex.org/C125450847","wikidata":"https://www.wikidata.org/wiki/Q7553982","display_name":"Soft handover","level":3,"score":0.4469802975654602},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42750829458236694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15233218669891357},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07960423827171326},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.06994715332984924},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocomwkshps51825.2021.9484431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps51825.2021.9484431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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":6,"referenced_works":["https://openalex.org/W1967508151","https://openalex.org/W2145417574","https://openalex.org/W2770058519","https://openalex.org/W2782400615","https://openalex.org/W2791345713","https://openalex.org/W2966901551"],"related_works":["https://openalex.org/W1958368","https://openalex.org/W4812119","https://openalex.org/W1898568","https://openalex.org/W3867369","https://openalex.org/W14728754","https://openalex.org/W6010219","https://openalex.org/W13919555","https://openalex.org/W14416413","https://openalex.org/W5282674","https://openalex.org/W14955052"],"abstract_inverted_index":{"How":[0],"to":[1,37,58,63,80],"improve":[2],"the":[3,25,32,41,46,49,60,71,78,82,88,91,97,121],"handover":[4,21,39,43,47,55,103,119],"performance":[5],"is":[6,93,106],"one":[7,123],"fundamental":[8],"issue":[9],"in":[10,31],"high-speed":[11],"railway":[12],"communication":[13,61],"(HSRC)":[14],"network.":[15,34],"This":[16],"paper":[17],"proposes":[18],"a":[19,52,74,102],"novel":[20],"enhancement":[22],"scheme":[23,44,105],"for":[24],"Control/User":[26],"plane":[27],"split":[28],"heterogeneous":[29],"network":[30],"HSRC":[33],"In":[35],"contrast":[36],"traditional":[38,118],"scheme,":[40,73,120],"proposed":[42,72,107,122],"triggers":[45],"on":[48,96,109],"basis":[50],"of":[51,90,99],"predicted":[53],"reference":[54],"point":[56],"(RHP)":[57],"reduce":[59],"interruption":[62],"both":[64],"serving":[65],"and":[66,87],"target":[67],"eNBs.":[68],"To":[69],"facilitate":[70],"nonlinear":[75],"relationship":[76],"among":[77],"distance":[79],"RHP,":[81],"received":[83],"signal":[84],"strength":[85],"(RSS)":[86],"speed":[89],"train":[92],"modeled":[94],"based":[95,108],"distribution":[98],"RSS.":[100],"Further,":[101],"trigger":[104],"Bayesian":[110],"regression.":[111],"Simulation":[112],"results":[113],"show":[114],"that":[115],"compared":[116],"with":[117],"achieves":[124],"lower":[125],"outage":[126],"probability.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
