{"id":"https://openalex.org/W2165551776","doi":"https://doi.org/10.1109/jsac.1986.1146393","title":"A Markov Modulated Characterization of Packetized Voice and Data Traffic and Related Statistical Multiplexer Performance","display_name":"A Markov Modulated Characterization of Packetized Voice and Data Traffic and Related Statistical Multiplexer Performance","publication_year":1986,"publication_date":"1986-09-01","ids":{"openalex":"https://openalex.org/W2165551776","doi":"https://doi.org/10.1109/jsac.1986.1146393","mag":"2165551776"},"language":"en","primary_location":{"id":"doi:10.1109/jsac.1986.1146393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.1986.1146393","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","raw_type":"journal-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/A5051635436","display_name":"H. Heffes","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Heffes","raw_affiliation_strings":["AT and T Bell Laboratories, Inc., Holmdel, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT and T Bell Laboratories, Inc., Holmdel, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083639736","display_name":"David M. Lucantoni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Lucantoni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":22.0435,"has_fulltext":false,"cited_by_count":1255,"citation_normalized_percentile":{"value":0.99741602,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"4","issue":"6","first_page":"856","last_page":"868"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9997000098228455,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9979000091552734,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9955000281333923,"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/multiplexer","display_name":"Multiplexer","score":0.8174726963043213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7211267948150635},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.6494800448417664},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5343104600906372},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.45757174491882324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4416680634021759},{"id":"https://openalex.org/keywords/markovian-arrival-process","display_name":"Markovian arrival process","score":0.4231986999511719},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.4181334376335144},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.27994805574417114},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2612469792366028},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17916983366012573},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15995913743972778},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15983420610427856}],"concepts":[{"id":"https://openalex.org/C70970002","wikidata":"https://www.wikidata.org/wiki/Q189434","display_name":"Multiplexer","level":3,"score":0.8174726963043213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7211267948150635},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.6494800448417664},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5343104600906372},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.45757174491882324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4416680634021759},{"id":"https://openalex.org/C192163390","wikidata":"https://www.wikidata.org/wiki/Q612061","display_name":"Markovian arrival process","level":3,"score":0.4231986999511719},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.4181334376335144},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.27994805574417114},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2612469792366028},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17916983366012573},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15995913743972778},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15983420610427856},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsac.1986.1146393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.1986.1146393","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W38649729","https://openalex.org/W97346678","https://openalex.org/W1480684298","https://openalex.org/W1493115274","https://openalex.org/W2012342523","https://openalex.org/W2016600945","https://openalex.org/W2021469447","https://openalex.org/W2042478940","https://openalex.org/W2064371950","https://openalex.org/W2082062155","https://openalex.org/W2084380285","https://openalex.org/W2098963664","https://openalex.org/W2101969505","https://openalex.org/W2102722370","https://openalex.org/W2121529758","https://openalex.org/W2125569171","https://openalex.org/W2143023231","https://openalex.org/W2154602821","https://openalex.org/W2160347360","https://openalex.org/W2334369124","https://openalex.org/W2511894128","https://openalex.org/W2800883947","https://openalex.org/W3026026050","https://openalex.org/W3046228487","https://openalex.org/W4230899823","https://openalex.org/W4300126076","https://openalex.org/W6603982572","https://openalex.org/W6628761790","https://openalex.org/W6781752649"],"related_works":["https://openalex.org/W207441337","https://openalex.org/W2016880249","https://openalex.org/W2166670808","https://openalex.org/W2889689418","https://openalex.org/W1552135735","https://openalex.org/W311249742","https://openalex.org/W2191913249","https://openalex.org/W2896642921","https://openalex.org/W2001007698","https://openalex.org/W2115248066"],"abstract_inverted_index":{"We":[0,95],"study":[1],"the":[2,67,101,122,144,150,159,162,168],"performance":[3,21,78],"of":[4,11,14,59,66,85,100,115,138,161,171],"a":[5,12,31,46,136],"statistical":[6,61],"multiplexer":[7],"whose":[8],"inputs":[9],"consist":[10],"superposition":[13,42],"packetized":[15],"voice":[16,24,86,102,163],"sources":[17],"and":[18,87,91,103,135,174],"data.":[19],"The":[20,41,155],"analysis":[22],"predicts":[23],"packet":[25,38,105,164],"delay":[26,39,89,106,116,165],"distributions,":[27,107],"which":[28,53,108],"usually":[29],"have":[30],"stringent":[32],"requirement,":[33],"as":[34,36,132],"well":[35],"data":[37,88,104],"distributions.":[40,94,117],"is":[43,54,119],"approximated":[44],"by":[45],"correlated":[47],"Markov":[48],"modulated":[49],"Poisson":[50],"process":[51],"(MMPP),":[52],"chosen":[55],"such":[56,131],"that":[57],"several":[58],"its":[60],"characteristics":[62],"identically":[63],"match":[64],"those":[65],"superposition.":[68],"Matrix":[69],"analytic":[70,124],"methods":[71,151],"are":[72,109],"then":[73],"used":[74],"to":[75,112,152],"evaluate":[76,113],"system":[77,129],"measures.":[79],"In":[80],"particular,":[81],"we":[82],"obtain":[83,97],"moments":[84],"distributions":[90],"queue":[92],"length":[93],"also":[96],"Laplace-Stieitjes":[98],"transforms":[99],"numerically":[110],"inverted":[111],"tails":[114,160],"It":[118],"shown":[120],"how":[121],"matrix":[123],"methodology":[125],"can":[126],"incorporate":[127],"practical":[128],"considerations":[130],"finite":[133],"buffers":[134],"class":[137],"overload":[139],"control":[140],"mechanisms":[141],"discussed":[142],"in":[143],"literature.":[145],"Comparisons":[146],"with":[147],"simulation":[148],"show":[149,167],"be":[153],"accurate.":[154],"numerical":[156],"results":[157],"for":[158],"distribution":[166],"dramatic":[169],"effect":[170],"traffic":[172],"variability":[173],"correlations":[175],"on":[176],"performance.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":33},{"year":2012,"cited_by_count":15}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
