{"id":"https://openalex.org/W2152998482","doi":"https://doi.org/10.1109/dyspan.2014.6817782","title":"Learning probabilistic models of cellular network traffic with applications to resource management","display_name":"Learning probabilistic models of cellular network traffic with applications to resource management","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2152998482","doi":"https://doi.org/10.1109/dyspan.2014.6817782","mag":"2152998482"},"language":"en","primary_location":{"id":"doi:10.1109/dyspan.2014.6817782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dyspan.2014.6817782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Dynamic Spectrum Access Networks (DYSPAN)","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/A5017160655","display_name":"Utpal Kumar Paul","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Utpal Paul","raw_affiliation_strings":["Computer Science Department, Stony Brook University, NY, U.S.A"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Stony Brook University, NY, U.S.A","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081273303","display_name":"Luis E. Ortiz","orcid":"https://orcid.org/0000-0003-0330-3069"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luis Ortiz","raw_affiliation_strings":["Computer Science Department, Stony Brook University, NY, U.S.A"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Stony Brook University, NY, U.S.A","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052004561","display_name":"Samir R. Das","orcid":"https://orcid.org/0000-0002-0802-3130"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samir R. Das","raw_affiliation_strings":["Computer Science Department, Stony Brook University, NY, U.S.A"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Stony Brook University, NY, U.S.A","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002191084","display_name":"Giordano Fusco","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Giordano Fusco","raw_affiliation_strings":["Computer Science Department, Stony Brook University, NY, U.S.A"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Stony Brook University, NY, U.S.A","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017784540","display_name":"Milind M. Buddhikot","orcid":null},"institutions":[{"id":"https://openalex.org/I1322087612","display_name":"Alcatel Lucent (Germany)","ror":"https://ror.org/00c5mwp75","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322087612"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Milind Madhav Buddhikot","raw_affiliation_strings":["Alcatel-Lucent Bell Laboratories, Murray Hill, NJ, U.S.A"],"affiliations":[{"raw_affiliation_string":"Alcatel-Lucent Bell Laboratories, Murray Hill, NJ, U.S.A","institution_ids":["https://openalex.org/I1322087612"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017160655"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":2.0808,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89575534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"104","issue":null,"first_page":"82","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T13553","display_name":"Age of Information Optimization","score":0.9835000038146973,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/computer-science","display_name":"Computer science","score":0.8132205009460449},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.683796763420105},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6404476761817932},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5914050340652466},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5527123212814331},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.4950632154941559},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.46141326427459717},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4150794446468353},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.41183534264564514},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.399058997631073},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32434868812561035},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30491822957992554},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2645566463470459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19959807395935059},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.12282845377922058}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8132205009460449},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.683796763420105},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6404476761817932},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5914050340652466},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5527123212814331},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.4950632154941559},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.46141326427459717},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4150794446468353},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.41183534264564514},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.399058997631073},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32434868812561035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30491822957992554},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2645566463470459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19959807395935059},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.12282845377922058},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dyspan.2014.6817782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dyspan.2014.6817782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Dynamic Spectrum Access Networks (DYSPAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W143236119","https://openalex.org/W601070381","https://openalex.org/W1506806321","https://openalex.org/W1635005878","https://openalex.org/W1984568490","https://openalex.org/W1988897678","https://openalex.org/W2010824638","https://openalex.org/W2012549717","https://openalex.org/W2031657002","https://openalex.org/W2046825144","https://openalex.org/W2074937974","https://openalex.org/W2083555890","https://openalex.org/W2086658401","https://openalex.org/W2111707959","https://openalex.org/W2118872355","https://openalex.org/W2123673584","https://openalex.org/W2132555912","https://openalex.org/W2135046866","https://openalex.org/W2141487810","https://openalex.org/W2142249721","https://openalex.org/W2144190599","https://openalex.org/W2149199519","https://openalex.org/W2152092514","https://openalex.org/W2154706416","https://openalex.org/W2159396835","https://openalex.org/W2162464844","https://openalex.org/W2167617566","https://openalex.org/W2320725412","https://openalex.org/W2541897332","https://openalex.org/W3098834468","https://openalex.org/W3163287500","https://openalex.org/W4231298827","https://openalex.org/W4231997794","https://openalex.org/W4241546070","https://openalex.org/W4244241893","https://openalex.org/W4249812291","https://openalex.org/W6680156768","https://openalex.org/W6700333544","https://openalex.org/W6728986830","https://openalex.org/W6765052695"],"related_works":["https://openalex.org/W2303288554","https://openalex.org/W3033750547","https://openalex.org/W2029216794","https://openalex.org/W4386698331","https://openalex.org/W2047225036","https://openalex.org/W2138314731","https://openalex.org/W2029263917","https://openalex.org/W2093207996","https://openalex.org/W2982446297","https://openalex.org/W2322468729"],"abstract_inverted_index":{"Given":[0],"the":[1,37,45,61,71,81,85,129,136,141,144,153,185],"exponential":[2],"increase":[3],"in":[4,44,120,134,183],"broadband":[5],"cellular":[6],"traffic":[7,13,48,62],"it":[8],"is":[9,68,180],"imperative":[10],"that":[11,79,109,174],"scalable":[12],"measurement":[14],"and":[15,41,146,169],"monitoring":[16,63,137,147,186],"techniques":[17],"be":[18,57],"developed":[19],"to":[20,35,50,59,69,73,104],"aid":[21],"various":[22],"resource":[23],"management":[24],"methods.":[25],"In":[26],"this":[27,132,156],"paper,":[28],"we":[29,127,150],"use":[30,154],"a":[31,75,94,106,121],"machine":[32],"learning":[33],"technique":[34,78],"learn":[36],"underlying":[38],"conditional":[39],"dependence":[40],"independence":[42],"structure":[43],"base":[46,86,98,125],"station":[47],"loads":[49,82],"show":[51,128,173],"how":[52],"such":[53,178],"probabilistic":[54],"models":[55],"can":[56],"used":[58],"reduce":[60],"efforts.":[64],"The":[65],"broad":[66],"goal":[67],"exploit":[70],"model":[72,108],"develop":[74,105],"spatial":[76],"sampling":[77],"estimates":[80],"on":[83,89,93,111,159],"all":[84],"stations":[87,126],"based":[88],"actual":[90],"measurements":[91],"only":[92,113],"small":[95],"subset":[96],"of":[97,123,131,155],"stations.":[99],"We":[100],"take":[101],"special":[102],"care":[103],"sparse":[107],"focuses":[110],"capturing":[112],"key":[114],"dependences.":[115],"Using":[116],"trace":[117],"data":[118],"collected":[119],"network":[122],"400":[124],"effectiveness":[130],"approach":[133,158],"reducing":[135,184],"effort.":[138],"To":[139],"understand":[140],"tradeoff":[142],"between":[143],"accuracy":[145],"complexity":[148],"better,":[149],"also":[151],"study":[152],"modeling":[157,179],"real":[160],"applications.":[161],"Two":[162],"applications":[163],"are":[164],"studied":[165],"-":[166],"energy":[167],"saving":[168],"opportunistic":[170],"scheduling.":[171],"They":[172],"load":[175],"estimation":[176],"via":[177],"quite":[181],"effective":[182],"burden.":[187]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-02-24T19:35:01.260952","created_date":"2025-10-10T00:00:00"}
