{"id":"https://openalex.org/W1523333581","doi":"https://doi.org/10.1007/978-3-642-25575-5_14","title":"Bayesian Estimation of Network-Wide Mean Failure Probability in 3G Cellular Networks","display_name":"Bayesian Estimation of Network-Wide Mean Failure Probability in 3G Cellular Networks","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W1523333581","doi":"https://doi.org/10.1007/978-3-642-25575-5_14","mag":"1523333581"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-25575-5_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-25575-5_14","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://inria.hal.science/hal-01586897","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043275553","display_name":"Angelo Coluccia","orcid":"https://orcid.org/0000-0001-7118-9734"},"institutions":[{"id":"https://openalex.org/I142910587","display_name":"University of Salento","ror":"https://ror.org/03fc1k060","country_code":"IT","type":"education","lineage":["https://openalex.org/I142910587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Angelo Coluccia","raw_affiliation_strings":["University of Salento, Lecce, Italy"],"affiliations":[{"raw_affiliation_string":"University of Salento, Lecce, Italy","institution_ids":["https://openalex.org/I142910587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038433074","display_name":"Fabio Ricciato","orcid":"https://orcid.org/0000-0002-4785-3858"},"institutions":[{"id":"https://openalex.org/I4210122474","display_name":"Forschungszentrum Telekommunikation Wien","ror":"https://ror.org/026nftk33","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4210122474"]},{"id":"https://openalex.org/I142910587","display_name":"University of Salento","ror":"https://ror.org/03fc1k060","country_code":"IT","type":"education","lineage":["https://openalex.org/I142910587"]}],"countries":["AT","IT"],"is_corresponding":false,"raw_author_name":"Fabio Ricciato","raw_affiliation_strings":["FTW Forschungszentrum Telekommunikation Wien, Vienna, Austria","University of Salento, Lecce, Italy"],"affiliations":[{"raw_affiliation_string":"FTW Forschungszentrum Telekommunikation Wien, Vienna, Austria","institution_ids":["https://openalex.org/I4210122474"]},{"raw_affiliation_string":"University of Salento, Lecce, Italy","institution_ids":["https://openalex.org/I142910587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056174451","display_name":"Peter Romirer\u2010Maierhofer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122474","display_name":"Forschungszentrum Telekommunikation Wien","ror":"https://ror.org/026nftk33","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4210122474"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Peter Romirer-Maierhofer","raw_affiliation_strings":["FTW Forschungszentrum Telekommunikation Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"FTW Forschungszentrum Telekommunikation Wien, Vienna, Austria","institution_ids":["https://openalex.org/I4210122474"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043275553"],"corresponding_institution_ids":["https://openalex.org/I142910587"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":4.4346,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.94829902,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.9904000163078308,"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":0.9904000163078308,"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/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.9599999785423279,"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/estimator","display_name":"Estimator","score":0.7989394068717957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7935726642608643},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6068370342254639},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5736282467842102},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4453245997428894},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.4208754897117615},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.41721513867378235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2330310344696045},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17177274823188782},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10549023747444153},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10251003503799438}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7989394068717957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7935726642608643},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6068370342254639},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5736282467842102},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4453245997428894},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.4208754897117615},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.41721513867378235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2330310344696045},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17177274823188782},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10549023747444153},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10251003503799438}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-642-25575-5_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-25575-5_14","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-01586897v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01586897","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Performance Evaluation of Computer and Communication Systems (PERFORM), Oct 2010, Vienna, Austria. pp.167-178, &#x27E8;10.1007/978-3-642-25575-5_14&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01586897v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01586897","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Performance Evaluation of Computer and Communication Systems (PERFORM), Oct 2010, Vienna, Austria. pp.167-178, &#x27E8;10.1007/978-3-642-25575-5_14&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W190008395","https://openalex.org/W1500037751","https://openalex.org/W1507311465","https://openalex.org/W1590636096","https://openalex.org/W2055622370","https://openalex.org/W2108837372","https://openalex.org/W2117161260","https://openalex.org/W2122759946","https://openalex.org/W2132559723","https://openalex.org/W2133301970","https://openalex.org/W2801179766","https://openalex.org/W4205125306","https://openalex.org/W4249214388","https://openalex.org/W4250093671","https://openalex.org/W4256170606","https://openalex.org/W4285719527","https://openalex.org/W4300223101"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W2015759683","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W2371687270","https://openalex.org/W2898674639","https://openalex.org/W4311888330"],"abstract_inverted_index":{"Mobile":[0],"users":[1,137],"in":[2,28,144],"cellular":[3],"networks":[4],"produce":[5],"calls,":[6],"initiate":[7],"connections":[8],"and":[9,123,195,233],"send":[10],"packets.":[11],"Such":[12,114],"events":[13],"have":[14],"a":[15,29,58,67,141,159,165,192,200,215,220],"binary":[16],"outcome":[17],"\u2014":[18,65,72,140],"success":[19],"or":[20,46],"failure.":[21],"The":[22,52,93],"term":[23],"\u201cfailure\u201d":[24],"is":[25,74,90,97,138],"used":[26],"here":[27],"broad":[30],"sense:":[31],"it":[32],"can":[33],"take":[34,99],"different":[35,193],"meanings":[36],"depending":[37],"on":[38,174],"the":[39,79,84,88,100,103,109,119,130,149,175,189,197,227,230],"type":[40],"of":[41,62,87,102,106,112,121,132,151,178,206,229],"event,":[42],"from":[43,118,191,219],"packet":[44],"loss":[45],"late":[47],"delivery":[48],"to":[49,98,108,214],"call":[50],"rejection.":[51],"Mean":[53],"Failure":[54],"Probability":[55],"(MFP)":[56],"provides":[57],"simple":[59,166],"summary":[60],"indicator":[61],"network-wide":[63],"performance":[64],"i.e.,":[66],"Key":[68],"Performance":[69],"Indicator":[70],"(KPI)":[71],"that":[73,235],"an":[75],"important":[76],"input":[77],"for":[78,155],"network":[80],"operation":[81],"process.":[82],"However,":[83],"robust":[85,153,168],"estimation":[86],"MFP":[89,156],"not":[91,126],"trivial.":[92],"most":[94],"common":[95],"approach":[96,116],"ratio":[101],"total":[104,110],"number":[105,111],"failures":[107],"requests.":[113],"simplistic":[115],"suffers":[117],"presence":[120],"heavy-users,":[122],"therefore":[124],"does":[125],"work":[127,161,186],"well":[128],"when":[129],"distribution":[131],"traffic":[133],"(i.e.,":[134],"requests)":[135],"across":[136],"heavy-tailed":[139],"typical":[142],"case":[143],"real":[145,216,221],"networks.":[146],"This":[147],"motivates":[148],"exploration":[150],"more":[152],"methods":[154],"estimation.":[157],"In":[158,183],"previous":[160],"[1]":[162],"we":[163,187],"derived":[164],"but":[167],"sub-optimal":[169],"estimator,":[170],"called":[171],"EPWR,":[172,236],"based":[173],"weighted":[176],"average":[177],"individual":[179],"(per-user)":[180],"failure":[181],"probabilities.":[182],"this":[184],"follow-up":[185],"tackle":[188],"problem":[190,198],"angle":[194],"formalize":[196],"following":[199],"Bayesian":[201],"approach,":[202],"deriving":[203],"two":[204],"variants":[205],"non-parametric":[207],"optimal":[208],"estimators.":[209],"We":[210],"apply":[211],"these":[212],"estimators":[213,232],"dataset":[217],"collected":[218],"3G":[222],"network.":[223],"Our":[224],"results":[225],"confirm":[226],"goodness":[228],"proposed":[231],"show":[234],"despite":[237],"its":[238],"simplicity,":[239],"yields":[240],"near-optimum":[241],"performance.":[242]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
