{"id":"https://openalex.org/W2013261212","doi":"https://doi.org/10.1109/infcom.2013.6566938","title":"2-State (semi-)Markov processes beyond Gilbert-Elliott: Traffic and channel models based on 2<sup>nd</sup> order statistics","display_name":"2-State (semi-)Markov processes beyond Gilbert-Elliott: Traffic and channel models based on 2<sup>nd</sup> order statistics","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2013261212","doi":"https://doi.org/10.1109/infcom.2013.6566938","mag":"2013261212"},"language":"en","primary_location":{"id":"doi:10.1109/infcom.2013.6566938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2013.6566938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Proceedings IEEE INFOCOM","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/A5001544914","display_name":"Gerhard Ha\u00dflinger","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093367","display_name":"Deutsche Telekom (Germany)","ror":"https://ror.org/00m8prc86","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210093367"]},{"id":"https://openalex.org/I58534130","display_name":"Deutsche Telekom (United Kingdom)","ror":"https://ror.org/00qxrgg46","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210093367","https://openalex.org/I58534130"]}],"countries":["DE","GB"],"is_corresponding":false,"raw_author_name":"Gerhard Hasslinger","raw_affiliation_strings":["Deutsche Telekom Technik, Fixed Mobile Engineering, Darmstadt, Germany","Fixed Mobile Eng., Deutsche Telekom Tech., Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deutsche Telekom Technik, Fixed Mobile Engineering, Darmstadt, Germany","institution_ids":["https://openalex.org/I4210093367"]},{"raw_affiliation_string":"Fixed Mobile Eng., Deutsche Telekom Tech., Darmstadt, Germany","institution_ids":["https://openalex.org/I58534130"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052192208","display_name":"Anne M. Schwahn","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093367","display_name":"Deutsche Telekom (Germany)","ror":"https://ror.org/00m8prc86","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210093367"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anne Schwahn","raw_affiliation_strings":["Telekom IT Network Analysis, Planning & Optimization Darmstadt, T-Systems International GmbH, Germany","T-Syst. Int., Telekom IT, Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telekom IT Network Analysis, Planning & Optimization Darmstadt, T-Systems International GmbH, Germany","institution_ids":["https://openalex.org/I4210093367"]},{"raw_affiliation_string":"T-Syst. Int., Telekom IT, Darmstadt, Germany","institution_ids":["https://openalex.org/I4210093367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027000171","display_name":"Franz Hartleb","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093367","display_name":"Deutsche Telekom (Germany)","ror":"https://ror.org/00m8prc86","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210093367"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Franz Hartleb","raw_affiliation_strings":["Telekom IT Network Analysis, Planning & Optimization Darmstadt, T-Systems International GmbH, Germany","T-Syst. Int., Telekom IT, Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telekom IT Network Analysis, Planning & Optimization Darmstadt, T-Systems International GmbH, Germany","institution_ids":["https://openalex.org/I4210093367"]},{"raw_affiliation_string":"T-Syst. Int., Telekom IT, Darmstadt, Germany","institution_ids":["https://openalex.org/I4210093367"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"1438","last_page":"1446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9998999834060669,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9998999834060669,"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":0.9980000257492065,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9977999925613403,"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/markov-chain","display_name":"Markov chain","score":0.6550662517547607},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.6326891183853149},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.5936799049377441},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.5584069490432739},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5273797512054443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47777068614959717},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.4638547897338867},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44563060998916626},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.44467946887016296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4441082179546356},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4293172359466553},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.41931676864624023},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4145553410053253},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3984471559524536},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3416423499584198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1797267198562622},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08276396989822388}],"concepts":[{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6550662517547607},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.6326891183853149},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.5936799049377441},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5584069490432739},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5273797512054443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47777068614959717},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.4638547897338867},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44563060998916626},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.44467946887016296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4441082179546356},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4293172359466553},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.41931676864624023},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4145553410053253},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3984471559524536},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3416423499584198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1797267198562622},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08276396989822388},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infcom.2013.6566938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2013.6566938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Proceedings IEEE INFOCOM","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337512","display_name":"Nuclear Physics","ror":"https://ror.org/02atag894"},{"id":"https://openalex.org/F4320338370","display_name":"FP7 Information and Communication Technologies","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W32864775","https://openalex.org/W586760411","https://openalex.org/W1486673646","https://openalex.org/W1525424794","https://openalex.org/W1563617883","https://openalex.org/W1940933100","https://openalex.org/W1964154540","https://openalex.org/W1972837603","https://openalex.org/W1974839821","https://openalex.org/W2021071948","https://openalex.org/W2041461390","https://openalex.org/W2053571792","https://openalex.org/W2063142364","https://openalex.org/W2073168821","https://openalex.org/W2074701336","https://openalex.org/W2086113250","https://openalex.org/W2105818147","https://openalex.org/W2114013702","https://openalex.org/W2119683335","https://openalex.org/W2125838338","https://openalex.org/W2126897670","https://openalex.org/W2137055005","https://openalex.org/W2143836930","https://openalex.org/W2145813497","https://openalex.org/W2147304555","https://openalex.org/W2149906048","https://openalex.org/W2151927301","https://openalex.org/W2153623795","https://openalex.org/W2156813924","https://openalex.org/W2157735458","https://openalex.org/W2160212283","https://openalex.org/W2164934966","https://openalex.org/W2168300094","https://openalex.org/W2170622857","https://openalex.org/W3104134717","https://openalex.org/W4241223395","https://openalex.org/W6631415030","https://openalex.org/W6633671900","https://openalex.org/W6672014794"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2194396582","https://openalex.org/W2082284720","https://openalex.org/W2116722627","https://openalex.org/W2537260108","https://openalex.org/W2379938888","https://openalex.org/W2566202039","https://openalex.org/W4233405330","https://openalex.org/W2792905593"],"abstract_inverted_index":{"Two-state":[0],"Markov":[1,147],"models":[2,105,148],"are":[3,62],"applied":[4],"in":[5,45,64,75,158],"many":[6],"performance":[7],"evaluation":[8,132],"studies":[9],"as":[10],"a":[11,65,96,107,150],"simple":[12],"form":[13],"of":[14,24,41,83,125,133],"autocorrelated":[15],"processes,":[16],"starting":[17],"with":[18],"Gilbert-Elliott":[19],"channels":[20],"for":[21,36,99],"the":[22,37,69,76,81,123,126,155],"analysis":[23],"transmission":[25],"protocols":[26],"subject":[27],"to":[28,47,50,95,121,154],"error":[29,54],"bursts.":[30],"We":[31],"derive":[32],"an":[33],"explicit":[34],"formula":[35],"2nd":[38,127],"order":[39,46,128],"statistics":[40],"2state":[42,146],"semi-Markov":[43],"processes":[44],"adapt":[48],"them":[49],"correlated":[51],"traffic":[52,156],"and":[53,57,88,92],"processes.":[55,164],"State":[56],"transition":[58],"specific":[59],"distribution":[60],"functions":[61],"included":[63],"general":[66,145],"representation":[67],"covering":[68],"special":[70,112],"cases":[71,114],"being":[72],"usually":[73],"studied":[74],"literature.":[77],"The":[78],"results":[79],"reveal":[80],"influence":[82],"model":[84],"parameters":[85],"on":[86,137],"short":[87],"long":[89],"term":[90],"dependency":[91],"give":[93],"rise":[94],"straightforward":[97],"procedure":[98],"parameter":[100,119],"adaption.":[101],"In":[102,130],"general,":[103],"2-state":[104,113],"provide":[106],"2-dimensional":[108],"fitting":[109],"space,":[110],"whereas":[111],"often":[115],"have":[116],"only":[117],"one":[118],"left":[120],"fit":[122,153],"shape":[124],"statistics.":[129],"our":[131],"IP":[134],"packet":[135],"measurements":[136],"aggregation":[138],"links":[139],"we":[140],"experienced":[141],"that":[142],"adaptations":[143],"by":[144],"achieve":[149],"much":[151],"closer":[152],"variability":[157],"different":[159],"time":[160],"scales":[161],"than":[162],"self-similar":[163]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}