{"id":"https://openalex.org/W2803644420","doi":"https://doi.org/10.1109/ciss.2018.8362251","title":"Wireless network traffic disaggregation using Bayesian nonparametric techniques","display_name":"Wireless network traffic disaggregation using Bayesian nonparametric techniques","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2803644420","doi":"https://doi.org/10.1109/ciss.2018.8362251","mag":"2803644420"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2018.8362251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2018.8362251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 52nd Annual Conference on Information Sciences and Systems (CISS)","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/A5071419703","display_name":"Gabriel Ford","orcid":"https://orcid.org/0000-0003-2426-2286"},"institutions":[{"id":"https://openalex.org/I1287521167","display_name":"Lockheed Martin (United States)","ror":"https://ror.org/026er9r08","country_code":"US","type":"company","lineage":["https://openalex.org/I1287521167"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gabriel Ford","raw_affiliation_strings":["Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA","institution_ids":["https://openalex.org/I1287521167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018181046","display_name":"Rebecca Cargan","orcid":null},"institutions":[{"id":"https://openalex.org/I1287521167","display_name":"Lockheed Martin (United States)","ror":"https://ror.org/026er9r08","country_code":"US","type":"company","lineage":["https://openalex.org/I1287521167"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rebecca Cargan","raw_affiliation_strings":["Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA","institution_ids":["https://openalex.org/I1287521167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113611771","display_name":"Ali H. Ahmed","orcid":null},"institutions":[{"id":"https://openalex.org/I1287521167","display_name":"Lockheed Martin (United States)","ror":"https://ror.org/026er9r08","country_code":"US","type":"company","lineage":["https://openalex.org/I1287521167"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Ahmed","raw_affiliation_strings":["Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA","institution_ids":["https://openalex.org/I1287521167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024316679","display_name":"Kevin Rigney","orcid":null},"institutions":[{"id":"https://openalex.org/I1287521167","display_name":"Lockheed Martin (United States)","ror":"https://ror.org/026er9r08","country_code":"US","type":"company","lineage":["https://openalex.org/I1287521167"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Rigney","raw_affiliation_strings":["Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA","institution_ids":["https://openalex.org/I1287521167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017310968","display_name":"Christopher Berry","orcid":"https://orcid.org/0000-0002-6054-9180"},"institutions":[{"id":"https://openalex.org/I1287521167","display_name":"Lockheed Martin (United States)","ror":"https://ror.org/026er9r08","country_code":"US","type":"company","lineage":["https://openalex.org/I1287521167"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Berry","raw_affiliation_strings":["Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA","institution_ids":["https://openalex.org/I1287521167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091062384","display_name":"Donald J. Bucci","orcid":"https://orcid.org/0000-0002-7500-5768"},"institutions":[{"id":"https://openalex.org/I1287521167","display_name":"Lockheed Martin (United States)","ror":"https://ror.org/026er9r08","country_code":"US","type":"company","lineage":["https://openalex.org/I1287521167"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Donald Bucci","raw_affiliation_strings":["Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lockheed Martin Advanced Technology Laboratories, Cherry Hill, NJ, USA","institution_ids":["https://openalex.org/I1287521167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047426159","display_name":"Moshe Kam","orcid":"https://orcid.org/0000-0001-7117-1593"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moshe Kam","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9980000257492065,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9980000257492065,"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/T10860","display_name":"Speech and Audio Processing","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9972000122070312,"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/computer-science","display_name":"Computer science","score":0.7824834585189819},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7786269187927246},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.6446024775505066},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.46773582696914673},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.41276752948760986},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.40118345618247986},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3880331516265869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.343813419342041},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3330116271972656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7824834585189819},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7786269187927246},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.6446024775505066},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.46773582696914673},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.41276752948760986},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.40118345618247986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3880331516265869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.343813419342041},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3330116271972656},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss.2018.8362251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2018.8362251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 52nd Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1138573735","https://openalex.org/W1528056001","https://openalex.org/W1575388622","https://openalex.org/W1883186006","https://openalex.org/W2011760672","https://openalex.org/W2023427608","https://openalex.org/W2106186328","https://openalex.org/W2110575115","https://openalex.org/W2112461449","https://openalex.org/W2146059050","https://openalex.org/W2153620960","https://openalex.org/W2158266063","https://openalex.org/W2613342690","https://openalex.org/W2921676705","https://openalex.org/W2949115596","https://openalex.org/W2997791733","https://openalex.org/W3104490327","https://openalex.org/W4245655784","https://openalex.org/W4250389103","https://openalex.org/W6627345084","https://openalex.org/W6634449904","https://openalex.org/W6634986005","https://openalex.org/W6683603713"],"related_works":["https://openalex.org/W2559261346","https://openalex.org/W4280609833","https://openalex.org/W4235820682","https://openalex.org/W185479762","https://openalex.org/W2364370872","https://openalex.org/W2136943174","https://openalex.org/W1973979964","https://openalex.org/W4246064491","https://openalex.org/W1968709058","https://openalex.org/W2298116686"],"abstract_inverted_index":{"We":[0,171],"present":[1],"a":[2,45,63,99,120,160],"machine":[3],"learning":[4],"spectrum":[5,40],"awareness":[6],"framework":[7,33,174],"capable":[8],"of":[9,18,74,101,138,145,156],"characterizing":[10],"and":[11,95],"inferring":[12],"the":[13,132,136,139,146,154,157],"application":[14,186],"layer":[15,187],"protocol":[16,88,93,115],"states":[17,83,137],"multiple":[19,127,181],"interleaved":[20,129,140],"wireless":[21],"network":[22,178],"traffic":[23,59,108,188],"flows":[24,141,183],"using":[25],"only":[26],"externally":[27],"observable":[28],"energy":[29,102],"detector":[30,103],"features.":[31],"The":[32,77],"is":[34],"intended":[35],"to":[36,67,86,134,152],"inform":[37],"intelligent":[38],"dynamic":[39],"access":[41],"(DSA)":[42],"strategies":[43],"in":[44,164],"cognitive":[46,165],"radio":[47,166],"environment.":[48],"This":[49],"extends":[50],"an":[51,106,176],"approach":[52],"we":[53,149],"developed":[54],"previously":[55],"for":[56,92],"single":[57,114],"isolated":[58,107],"flows,":[60,159],"which":[61],"applied":[62],"Bayesian":[64],"non-parametric":[65],"technique":[66],"construct":[68],"hidden":[69,82,122],"Markov":[70,123],"model":[71,124],"(HMM)":[72],"representations":[73],"specific":[75],"protocols.":[76],"learned":[78],"HMM":[79],"models,":[80],"with":[81,168,180],"closely":[84],"corresponding":[85],"actual":[87],"states,":[89],"were":[90],"used":[91],"classification":[94],"state":[96],"recognition":[97],"given":[98],"stream":[100],"observables":[104],"from":[105,143],"flow.":[109],"In":[110],"this":[111,173],"work,":[112],"various":[113],"HMMs":[116],"are":[117],"combined":[118],"into":[119],"factorial":[121],"(FHMM)":[125],"representing":[126],"heterogeneous":[128],"flows.":[130],"Using":[131],"FHMM":[133],"infer":[135],"directly":[142],"observations":[144],"aggregate":[147],"traffic,":[148],"avoid":[150],"having":[151],"deinterleave":[153],"transmissions":[155],"component":[158],"particularly":[161],"difficult":[162],"task":[163],"environments":[167],"agile":[169],"emitters.":[170],"demonstrate":[172],"on":[175],"emulated":[177],"scenario":[179],"simultaneous":[182],"carrying":[184],"different":[185],"types.":[189]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}