{"id":"https://openalex.org/W2199811482","doi":"https://doi.org/10.1109/milcom.2015.7357678","title":"Modeling Automatic Link Establishment in HF networks","display_name":"Modeling Automatic Link Establishment in HF networks","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2199811482","doi":"https://doi.org/10.1109/milcom.2015.7357678","mag":"2199811482"},"language":"en","primary_location":{"id":"doi:10.1109/milcom.2015.7357678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom.2015.7357678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2015 - 2015 IEEE Military Communications Conference","raw_type":"proceedings-article"},"type":"preprint","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/A5110510420","display_name":"Romain Prouvez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140930","display_name":"Thales (France)","ror":"https://ror.org/04emwm605","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210140930"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Romain Prouvez","raw_affiliation_strings":["Thales Communiations & Security, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales Communiations & Security, France","institution_ids":["https://openalex.org/I4210140930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040700291","display_name":"Bruno Baynat","orcid":null},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bruno Baynat","raw_affiliation_strings":["Sorbonne Universite Campus Pierre et Marie Curie, Paris, \u00c3\u017dle-de-France, FR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne Universite Campus Pierre et Marie Curie, Paris, \u00c3\u017dle-de-France, FR","institution_ids":["https://openalex.org/I39804081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061273994","display_name":"Hicham Khalif\u00e9","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140930","display_name":"Thales (France)","ror":"https://ror.org/04emwm605","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210140930"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hicham Khalife","raw_affiliation_strings":["Thales Communiations & Security, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales Communiations & Security, France","institution_ids":["https://openalex.org/I4210140930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105838501","display_name":"Vania Conan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140930","display_name":"Thales (France)","ror":"https://ror.org/04emwm605","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210140930"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vania Conan","raw_affiliation_strings":["Thales Communiations & Security, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales Communiations & Security, France","institution_ids":["https://openalex.org/I4210140930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005394112","display_name":"Catherine Lamy\u2013Bergot","orcid":"https://orcid.org/0000-0001-7525-074X"},"institutions":[{"id":"https://openalex.org/I4210140930","display_name":"Thales (France)","ror":"https://ror.org/04emwm605","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210140930"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Catherine Lamy-Bergot","raw_affiliation_strings":["Thales Communiations & Security, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales Communiations & Security, France","institution_ids":["https://openalex.org/I4210140930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110510420"],"corresponding_institution_ids":["https://openalex.org/I4210140930"],"apc_list":null,"apc_paid":null,"fwci":0.7012,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76233173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1630","last_page":"1635"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.9968000054359436,"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9610000252723694,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10651","display_name":"IPv6, Mobility, Handover, Networks, Security","score":0.9593999981880188,"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/handshake","display_name":"Handshake","score":0.8290731906890869},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7795975804328918},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5655813217163086},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5263487100601196},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5181504487991333},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.4830535054206848},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.43158185482025146},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4217255413532257},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.41390693187713623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2140572965145111},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.17735347151756287},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0813264548778534}],"concepts":[{"id":"https://openalex.org/C2778000800","wikidata":"https://www.wikidata.org/wiki/Q830043","display_name":"Handshake","level":3,"score":0.8290731906890869},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7795975804328918},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5655813217163086},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5263487100601196},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5181504487991333},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.4830535054206848},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.43158185482025146},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4217255413532257},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41390693187713623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2140572965145111},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.17735347151756287},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0813264548778534},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/milcom.2015.7357678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom.2015.7357678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2015 - 2015 IEEE Military Communications Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01337098v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01337098","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Military Communications Conference (MILCOM 2015)\u2028, Oct 2015, Tempa, Florida, United States. pp.1630-1635, ⟨10.1109/MILCOM.2015.7357678⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1484851105","https://openalex.org/W2049635549","https://openalex.org/W2057223039","https://openalex.org/W2137974625"],"related_works":["https://openalex.org/W2358991869","https://openalex.org/W4285173741","https://openalex.org/W1486050759","https://openalex.org/W2309292492","https://openalex.org/W2735105689","https://openalex.org/W1482833264","https://openalex.org/W2106545930","https://openalex.org/W3207859108","https://openalex.org/W1981032420","https://openalex.org/W4230590132"],"abstract_inverted_index":{"Most":[0],"High":[1],"Frequency":[2],"(HF)":[3],"communications":[4],"systems":[5],"deployed":[6],"on":[7,70,147,156,161,168],"the":[8,21,43,52,82,86,90,117,129,134,142,148,157,162,169],"field":[9],"today":[10,47],"implement":[11],"ALE":[12,63,87,111,120,170],"(Automatic":[13],"Link":[14],"Establishment)":[15],"techniques":[16],"in":[17],"order":[18,114],"to":[19,51,105,115,140,144],"help":[20,106],"end-user":[22],"automatically":[23],"set":[24],"up":[25],"a":[26,102],"link":[27],"with":[28,133],"good":[29],"properties.":[30],"Two":[31],"generations":[32],"(so":[33],"called":[34],"2G":[35,152],"and":[36,45,77,89,108,160],"3G":[37],"ALE)":[38],"have":[39,122],"been":[40,124],"standardized":[41],"since":[42],"90s,":[44],"are":[46],"being":[48],"revisited":[49],"due":[50],"emergence":[53],"of":[54,85,150,164],"wideband":[55],"HF":[56],"waveforms.":[57],"In":[58,96,113],"this":[59,99],"paper,":[60],"we":[61],"model":[62,68,74,100,143],"protocols":[64],"using":[65],"an":[66],"abstraction":[67],"based":[69],"Markov":[71],"chains.":[72],"Our":[73],"captures":[75],"faster":[76],"more":[78],"easily":[79],"than":[80],"simulations":[81,121],"main":[83],"characteristics":[84],"processes":[88],"interactions":[91],"between":[92],"their":[93],"numerous":[94],"parameters.":[95],"that":[97,127],"sense,":[98],"constitutes":[101],"useful":[103],"tool":[104],"design":[107],"benchmark":[109],"future":[110],"strategies.":[112],"validate":[116],"model,":[118],"classical":[119],"also":[123,137],"carried":[125],"out,":[126],"show":[128,138],"high":[130],"similarity":[131],"obtained":[132],"model.":[135],"We":[136],"how":[139],"exploit":[141],"give":[145],"insights":[146],"limitations":[149],"current":[151],"ALE,":[153],"for":[154],"instance":[155],"handshake":[158],"method":[159],"impact":[163],"frequency":[165],"selection":[166],"strategy":[167],"duration.":[171]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2016-06-24T00:00:00"}