{"id":"https://openalex.org/W2794487387","doi":"https://doi.org/10.1109/ntms.2018.8328711","title":"Performance Analysis of Mobile Cellular Networks with MMPP Call Arrival Patterns","display_name":"Performance Analysis of Mobile Cellular Networks with MMPP Call Arrival Patterns","publication_year":2018,"publication_date":"2018-02-01","ids":{"openalex":"https://openalex.org/W2794487387","doi":"https://doi.org/10.1109/ntms.2018.8328711","mag":"2794487387"},"language":"en","primary_location":{"id":"doi:10.1109/ntms.2018.8328711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ntms.2018.8328711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)","raw_type":"proceedings-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/A5010058579","display_name":"S. Lirio Castellanos-L\u00f3pez","orcid":"https://orcid.org/0000-0002-3873-8129"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"S. Lirio Castellanos-Lopez","raw_affiliation_strings":["Electron. Dept., UAM-A, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Electron. Dept., UAM-A, Mexico City, Mexico","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079667317","display_name":"F.A. Cruz-P\u00e9rez","orcid":"https://orcid.org/0000-0001-8328-3760"},"institutions":[{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Felipe A. Cruz-Perez","raw_affiliation_strings":["Electr. Eng. Dept., IPN, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Electr. Eng. Dept., IPN, Mexico City, Mexico","institution_ids":["https://openalex.org/I59361560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078963447","display_name":"Genaro Hern\u00e1ndez-Valdez","orcid":"https://orcid.org/0000-0002-1280-3527"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Genaro Hernandez-Valdez","raw_affiliation_strings":["Electron. Dept., UAM-A, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Electron. Dept., UAM-A, Mexico City, Mexico","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018690552","display_name":"J\u00f3se Ra\u00fal Miranda-Tello","orcid":"https://orcid.org/0000-0002-5888-5732"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jose Raul Miranda-Tello","raw_affiliation_strings":["Electron. Dept., UAM-A, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Electron. Dept., UAM-A, Mexico City, Mexico","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010058579"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1845,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52239249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9966999888420105,"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":0.9941999912261963,"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":0.8840206861495972},{"id":"https://openalex.org/keywords/burstiness","display_name":"Burstiness","score":0.8243669271469116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.776907205581665},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.7729012966156006},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5711352825164795},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5537152886390686},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5372187495231628},{"id":"https://openalex.org/keywords/markovian-arrival-process","display_name":"Markovian arrival process","score":0.4924961030483246},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.46390506625175476},{"id":"https://openalex.org/keywords/poisson-process","display_name":"Poisson process","score":0.43561145663261414},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34728801250457764},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14020180702209473},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1247621476650238}],"concepts":[{"id":"https://openalex.org/C111852164","wikidata":"https://www.wikidata.org/wiki/Q1414679","display_name":"Handover","level":2,"score":0.8840206861495972},{"id":"https://openalex.org/C2781023610","wikidata":"https://www.wikidata.org/wiki/Q17006304","display_name":"Burstiness","level":3,"score":0.8243669271469116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.776907205581665},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.7729012966156006},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5711352825164795},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5537152886390686},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5372187495231628},{"id":"https://openalex.org/C192163390","wikidata":"https://www.wikidata.org/wiki/Q612061","display_name":"Markovian arrival process","level":3,"score":0.4924961030483246},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.46390506625175476},{"id":"https://openalex.org/C166144826","wikidata":"https://www.wikidata.org/wiki/Q1145117","display_name":"Poisson process","level":3,"score":0.43561145663261414},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34728801250457764},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14020180702209473},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1247621476650238},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ntms.2018.8328711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ntms.2018.8328711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1976501393","https://openalex.org/W2015557498","https://openalex.org/W2052024782","https://openalex.org/W2072773026","https://openalex.org/W2072941602","https://openalex.org/W2097023049","https://openalex.org/W2130931651","https://openalex.org/W2134465920","https://openalex.org/W2137388521","https://openalex.org/W2137732985","https://openalex.org/W2161289124","https://openalex.org/W2284597783","https://openalex.org/W2538283180","https://openalex.org/W2790010575","https://openalex.org/W6663132791","https://openalex.org/W6674494700"],"related_works":["https://openalex.org/W209513837","https://openalex.org/W2184541843","https://openalex.org/W1542182453","https://openalex.org/W2790010575","https://openalex.org/W2121607311","https://openalex.org/W2794487387","https://openalex.org/W4234487047","https://openalex.org/W2033992904","https://openalex.org/W4245708666","https://openalex.org/W2541734858"],"abstract_inverted_index":{"In":[0,23,58,109,148],"this":[1,46],"paper,":[2],"the":[3,59,70,87,90,105,110,118,130,134,137,145,150,155,163,167,172,178,183],"performance":[4,225],"of":[5,89,104,133,136,154,166,177,213,219],"mobile":[6],"multi-cellular":[7],"networks":[8],"with":[9,126,182],"Markov":[10],"modulated":[11],"Poisson":[12,77,204],"process":[13,78,132,205],"(MMPP)":[14],"call":[15,26,66,121,141,168,200,221],"arrivals":[16,222],"is":[17,187],"mathematically":[18],"analyzed":[19],"and":[20,52,55,139,206,217],"numerically":[21],"evaluated.":[22,227],"particular,":[24,149],"new":[25,138,220],"requests":[27,67,122,142,169,201],"in":[28,45,144,171],"each":[29,124],"cell":[30,72,125],"are":[31,43,73,99,157,226],"considered":[32,158],"to":[33,69,82,94,116,123,129,159,162],"follow":[34,202],"independent":[35],"two-state":[36],"MMPP":[37,92,156],"(MMPP-2).":[38],"Three":[39],"different":[40,91,106],"analysis":[41,196],"approaches":[42],"evaluated":[44],"paper:":[47],"based":[48],"on":[49,223],"bi-dimensional,":[50],"tri-dimensional,":[51],"four-dimensional":[53,111],"birth":[54],"death":[56],"processes.":[57],"bi-dimensional":[60],"(tri-dimensional)":[61],"{four-dimensional}":[62],"queuing":[63,112],"analysis,":[64,113],"handoff":[65,97,120,140,199],"arriving":[68],"reference":[71],"approximated":[74],"by":[75,192],"a":[76,194,203,207],"(MMPP-7)":[79],"{MMPP-43}.":[80],"Contrary":[81],"previously":[83],"published":[84],"related":[85],"works,":[86],"parameters":[88],"used":[93],"approximately":[95],"modelling":[96],"calls":[98],"iteratively":[100],"calculated":[101],"as":[102],"function":[103],"system":[107,224],"characteristics.":[108],"we":[114],"propose":[115],"model":[117],"incoming":[119],"similar":[127],"characteristics":[128],"resulting":[131],"aggregation":[135],"processes":[143,170],"neighboring":[146,173],"cells.":[147,174],"state":[151],"transition":[152],"rates":[153],"be":[160],"proportional":[161],"aggregated":[164],"rate":[165],"The":[175,211],"accuracy":[176],"numerical":[179],"results":[180],"obtained":[181,191],"proposed":[184],"analytical":[185],"approach":[186],"compared":[188],"against":[189],"those":[190],"both":[193],"teletraffic":[195],"considering":[197],"that":[198],"discrete-event":[208],"computer":[209],"simulator.":[210],"effect":[212],"users'":[214],"mobility":[215],"factor":[216],"burstiness":[218]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
